1. Stability Analysis for Neural Networks With Time-Varying Delay Based on Quadratic Convex Combination
Authors: Huaguang Zhang; Feisheng Yang; Xiaodong Liu; Qingling Zhang
Page(s): 513 - 521
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6410434
2. Factor Analysis of Auto-Associative Neural Networks With Application in Speaker Verification
Authors: Sri Garimella; Hynek Hermansky
Page(s): 522 - 528
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6414643
3. Projection-Based Fast Learning Fully Complex-Valued Relaxation Neural Network
Authors: Ramasamy Savitha; Sundaram Suresh; Narasimhan Sundararajan
Page(s): 529 - 541
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6414644
4. Granular Neural Networks: Concepts and Development Schemes
Authors: Mingli Song; Witold Pedrycz
Page(s): 542 - 553
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6415282
5. Noise-Shaping Gradient Descent-Based Online Adaptation Algorithms for Digital Calibration of Analog Circuits
Authors: Shantanu Chakrabartty; Ravi K. Shaga; Kenji Aono
Page(s): 554 - 565
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6416072
6. Cluster Consensus in Discrete-Time Networks of Multiagents With Inter-Cluster Nonidentical Inputs
Authors: Yujuan Han; Wenlian Lu; Tianping Chen
Page(s): 566 - 578
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6418037
7. Common Nature of Learning Between Back-Propagation and Hopfield-Type Neural Networks for Generalized Matrix Inversion With Simplified Models
Authors: Yunong Zhang; Dongsheng Guo; Zhan Li
Page(s): 579 - 592
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6421040
8. Online Support Vector Machine Based on Convex Hull Vertices Selection
Authors: Di Wang; Hong Qiao; Bo Zhang; Min Wang
Page(s): 593 - 609
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6420961
9. Optimizing Spatial Filters by Minimizing Within-Class Dissimilarities in Electroencephalogram-Based Brain–Computer Interface
Authors: Mahnaz Arvaneh; Cuntai Guan; Kai Keng Ang; Chai Quek
Page(s): 610 - 619
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6423303
10. Just-In-Time Classifiers for Recurrent Concepts
Authors: Cesare Alippi; Giacomo Boracchi; Manuel Roveri
Page(s): 620 - 634
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6425489
11. Least Square Regularized Regression in Sum Space
Authors: Yong-Li Xu; Di-Rong Chen; Han-Xiong Li; Lu Liu
Page(s): 635 - 646
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6425490
12. Dynamic Sampling Approach to Training Neural Networks for Multiclass Imbalance Classification
Authors: Minlong Lin; Ke Tang; Xin Yao
Page(s): 647 - 660
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6449324
13. New Parameter-Free Simplified Swarm Optimization for Artificial Neural Network Training and its Application in the Prediction of Time Series
Authors: Wei-Chang Yeh
Page(s): 661 - 665
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6410433
14. Distributed Consensus Tracking for Multiple Uncertain Nonlinear Strict-Feedback Systems Under a Directed Graph
Authors: Sung Jin Yoo
Page(s): 666 - 672
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6415283
15. Ensemble Pruning Using Spectral Coefficients
Authors: Terry Windeatt; Cemre Zor
Page(s): 673 - 678
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6423293
Friday, March 15, 2013
Friday, March 8, 2013
Applications of ECoS: First article available online
The first article accepted for my special issue of Evolving Systems on Applications of Kasabov's Evolving Connectionist Systems is now available online. This article is a comprehensive review of the mechanisms and applications of evolving spiking neural networks. I can thoroughly recommend this article to anyone interested in spiking networks. Congratulations to the authors Stefan Schliebs and Nik Kasabov and my thanks to the reviewers for their time and efforts.
Thursday, March 7, 2013
On Being a Postdoc 2: Postdoc survival
One of my
favourite quotes from the television series Babylon 5 is: "You
do not make history, you can only hope to survive it". As it is
with history, so it is with being a postdoc. You do not make history
as a postdoc, you can only hope to survive being one. I have done
three postdocs, one in New Zealand and two in Australia. Now I'm in a
permanent academic position, a head of department no less. But I have
seen people destroyed by the postdoc system, who have not just lost
their jobs but been pushed out of academia completely. Make no
mistake, the postdoc process can be brutal, but there are some
techniques that I found useful for surviving.
Be
nice. While some people seem to think
that the ends justify the means, if you mistreat people, eventually
you will get a reputation such that no-one wants to work with you.
There is no point in being able to attract research funding if you
can't find staff to employ with it, and there is no point being a
professor in your early thirties if your research group collapses by
the time you're forty, thanks to mismanagement of staff. Be nice to
people, and they will be nice to you. As my best friend is fond of
saying, good things happen to good people. This isn't due to some
mystical Karmic process: rather, people will go out of their way to
help someone who is nice to them. Loyalty is something that can only
be earned, it doesn't magically spring forth from the payment of
salary. On the other hand, some people see niceness as weakness and
will try to exploit you. Beware of the users!
Be
diplomatic. Your supervisor may be
egregiously wrong about something, but you don't have to point it
out. Far better to subtly lead them to this conclusion,
to let them think that they have worked it out by themselves. While
it is nice to think that science runs on the free and frank exchange
of ideas and opinions, it is in reality a very delicate egosystem.
Beware of the toes you step on-they may be connected to a fragile ego
and a peevish personality.
Get
everything in writing. It never hurts
to have written evidence in case everything goes wrong. People break
their word, sometimes you need a little bit of evidence to remind
them of what they promised.
Write
everything down. A career is not built
on a single action or accomplishment. Instead, it is built on a long
list of actions and accomplishments. If you don't write down
everything you do, then you might forget something vital when you go
for your next job. In other words, having a comprehensive and
up-to-date CV is vital for keeping track of the evidence that shows
that you have built a worthwhile career.
Be
diverse. Work in different fields and
expand your horizons. Each field of research has its own way of doing
things, if you work in a different field you will gain fresh
perspectives on your own field of study. I spent eight years working
in ecology, and what I learned has made me much better at designing
experiments in computational intelligence. Beware of staying in a
different field for too long: your own field may move on so much that
you can't catch up again.
Get
involved with professional organisations. For
computational intelligence, the best organisation to get involved
with is the Institute of Electrical and Electronic Engineers (IEEE),
especially the IEEE computational Intelligence Society (CIS).
Volunteering for service on committees of professional organisations
is a great way to develop your reputation as a competent, hard
working professional. It is also a great way of building your network
of professional contacts.
Be
useful. Work with other people and
broaden your network of research collaborators. Help other people out
where you can. Not only is this a great way of increasing your
publication output, it's also a good way of diversifying your
research experience. Collaborating with other researchers can also
lead to other research and employment opportunities.
Know
when to get out. Sometimes a field is
no longer worth pursuing. Sometimes, you have simply gone as high as
you can in that field. This is partly why I left ecological
modelling, as I'd risen as high as I could without an ecology degree
(something I had no interest in acquiring). Sometimes groups get
mismanaged to the point that they can't survive, and start losing
staff at such a rate that you have no choice but to flee. There is no
point being the last person on the Titanic. In other words, don't go
down with the ship
Get
enough sleep. I have found that every
hour of sleep I miss at night costs me two hours of productivity the
following day. It is important to sleep during the night: after the
sun comes up, the quality of your sleep is cut in half. Missing sleep
also depresses your immune system which makes it more likely that
you'll get sick. You might miss out on a bit of work time by going to
bed early, but how much work time will you miss if you're sick every
three weeks?
Work
hard. But not too hard. Success comes
to those who work the hardest, and in many ways hard work is more
important than native ability. But don't work so hard that you miss
out on too much sleep. You especially
shouldn't work so hard that your family suffers. At
the end of they day, your job is just a job, it's not worth
sacrificing your quality of life over. You
can always catch up on work later, but missed time with your kids is
lost forever.
Plan
your next move. Within six months of
starting a post-doc position you should be planning the move to your
next position. This means that you need to have some idea of where
you want to go in your career.
You also need to
be flexible, you probably won't end up with your dream job, but you
probably will end up with a job that is just as good.
Being a postdoc
is hard, and really it is best for young, single people. I was
thirty-one when I started my first postdoc, and had a brand-new
daughter, which made it much harder for me. But I survived, and I'm a
better person for it. I hope these strategies are useful for other
people.
Labels:
career management
Wednesday, March 6, 2013
Conference paper deadline: ICACI 2013
The deadline for submitting papers to the International Conference on Advanced Computational Intelligence (ICACI) 2013 is June 1 2013. This conference will be held in Hangzhou, China, 19-21 October, 2013.
Labels:
call for papers,
conferences
Tuesday, March 5, 2013
Conference paper deadline: TAAI 2013
The deadline for submitting paper to the Conference on Technologies and Applications of Artificial Intelligence 2013 is 1 August 2013. This conference will be held in Taipei, Taiwan, 6-8 December 2013.
Labels:
call for papers,
conferences
Monday, March 4, 2013
Paper submission deadline: CIS 2013
The deadline for submitting papers to the 9th International Conference on Computational Intelligence and Security (CIS) 2013 is 30 June 2013. This conference will be held at Mount Emei, Sichuan Province, China, December 14-15 2013.
Labels:
call for papers,
conferences
Friday, March 1, 2013
Reminder: paper submission deadline for ICONIP 2013
A reminder that the paper submission deadline for the 20th International Conference on Neural Information Processing (ICONIP) 2013 is 1 June 2013. This conference will be held in Daegu, Korea, 3-7 November, 2013.
Labels:
call for papers,
conferences,
reminder
Thursday, February 28, 2013
Paper submission deadline: UKCI 2013
The paper submission deadline for the UK Workshop on Computational Intelligence (UKCI) 2013 is 17 May 2013. This workshop will be held in Guildford, UK, 9-11 September, 2013.
Labels:
call for papers,
conferences
Wednesday, February 27, 2013
Paper submission deadline: AAIA 2013
The deadline for submitting papers to the 8th International Symposium Advances in Artificial Intelligence and Applications is 12 May 2013. This conference will be held in Krakow, Poland, 8-11 September 2013.
Labels:
call for papers,
conferences
Tuesday, February 26, 2013
Neural Networks: New articles 15-21 February 2013
1. Local minima in hierarchical structures of complex-valued neural networks
Author(s): Tohru Nitta
2. Nucleo-olivary inhibition balances the interaction between the reactive and adaptive layers in motor control
Author(s): Ivan Herreros, Paul F.M.J. Verschure
3. A supervised multi-spike learning algorithm based on gradient descent for spiking neural networks
Author(s): Yan Xu, Xiaoqin Zeng, Lixin Han, Jing Yang
4. Adaptive Markov chain Monte Carlo for auxiliary variable method and its application to parallel tempering
Author(s): Takamitsu Araki, Kazushi Ikeda
5. Efficient self-organizing multilayer neural network for nonlinear system modeling
Author(s): Hong-Gui Han, Li-Dan Wang, Jun-Fei Qiao
6. First experiments with PowerPlay
Author(s): Rupesh Kumar Srivastava, Bas R. Steunebrink, Jürgen Schmidhuber
Author(s): Tohru Nitta
2. Nucleo-olivary inhibition balances the interaction between the reactive and adaptive layers in motor control
Author(s): Ivan Herreros, Paul F.M.J. Verschure
3. A supervised multi-spike learning algorithm based on gradient descent for spiking neural networks
Author(s): Yan Xu, Xiaoqin Zeng, Lixin Han, Jing Yang
4. Adaptive Markov chain Monte Carlo for auxiliary variable method and its application to parallel tempering
Author(s): Takamitsu Araki, Kazushi Ikeda
5. Efficient self-organizing multilayer neural network for nonlinear system modeling
Author(s): Hong-Gui Han, Li-Dan Wang, Jun-Fei Qiao
6. First experiments with PowerPlay
Author(s): Rupesh Kumar Srivastava, Bas R. Steunebrink, Jürgen Schmidhuber
Labels:
journals,
neural networks
Paper submission deadline: ICARIS 2013
The deadline for submitting papers to the 12th International Conference on Artificial Immune Systems (ICARIS) 2013 is 22 April 2013. This conference will be held in Nottingham, UK, 27-29 August 2013.
Labels:
call for papers,
conferences
Monday, February 25, 2013
IEEE Transactions on Fuzzy Systems: Volume 21 Issue 1
A Vectorization-Optimization-Method-Based Type-2 Fuzzy Neural Network for Noisy Data Classification
Authors: Wu, G.-D.; Huang, P.-H.
Page(s): 1 - 15
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6195003
Petri Net Representation of Switched Fuzzy Systems
Authors: Ding, Z.; Ma, J.; Kandel, A.
Page(s): 16 - 29
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6195002
A New Gradient Descent Approach for Local Learning of Fuzzy Neural Models
Authors: Zhao, W.; Li, K.; Irwin, G. W.
Page(s): 30 - 44
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6203571
A Review of the Application of Multiobjective Evolutionary Fuzzy Systems: Current Status and Further Directions
Authors: Fazzolari, M.; Alcala, R.; Nojima, Y.; Ishibuchi, H.; Herrera, F.
Page(s): 45 - 65
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6204330
A Review of Fuzzy Cognitive Maps Research During the Last Decade
Authors: Papageorgiou, E. I.; Salmeron, J. L.
Page(s): 66 - 79
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6208855
Approaches for Reducing the Computational Cost of Interval Type-2 Fuzzy Logic Systems: Overview and Comparisons
Authors: Wu, D.
Page(s): 80 - 99
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6208856
Evolutionary Robot Wall-Following Control Using Type-2 Fuzzy Controller With Species-DE-Activated Continuous ACO
Authors: Hsu, C.-H.; Juang, C.-F.
Page(s): 100 - 112
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6212344
Preference Relations Based on Intuitionistic Multiplicative Information
Authors: Xia, M.; Xu, Z.; Liao, H.
Page(s): 113 - 133
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6212345
Adaptive Fuzzy Output Feedback Control of MIMO Nonlinear Systems With Unknown Dead-Zone Inputs
Authors: Tong, S.; Li, Y.
Page(s): 134 - 146
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6215037
Control Synthesis of Discrete-Time T–S Fuzzy Systems Based on a Novel Non-PDC Control Scheme
Authors: Xie, X.; Ma, H.; Zhao, Y.; Ding, D-.W.; Wang, Y.
Page(s): 147 - 157
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248200
Robust Observer Design for Unknown Inputs Takagi–Sugeno Models
Authors: Chadli, M.; Karimi, H. R.
Page(s): 158 - 164
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6193425
To Transmit or Not to Transmit: A Discrete Event-Triggered Communication Scheme for Networked Takagi–Sugeno Fuzzy Systems
Authors: Peng, C.; Han, Q.-L.; Yue, D.
Page(s): 164 - 170
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6202334
Fuzzy Nash Equilibriums in Crisp and Fuzzy Games
Authors: Chakeri, A.; Sheikholeslam, F.
Page(s): 171 - 176
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6213106
A Three-Domain Fuzzy Wavelet System for Simultaneous Processing of Time-Frequency Information and Fuzziness
Authors: Liu, Z.; Chen, C. L. P.; Zhang, Y.; Li, H.-X.; Wang, Y.
Page(s): 176 - 183
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6215036
A Fuzzy Measure Similarity Between Sets of Linguistic Summaries
Authors: Wilbik, A.; Keller, J. M.
Page(s): 183 - 189
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6275487
Authors: Wu, G.-D.; Huang, P.-H.
Page(s): 1 - 15
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6195003
Petri Net Representation of Switched Fuzzy Systems
Authors: Ding, Z.; Ma, J.; Kandel, A.
Page(s): 16 - 29
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6195002
A New Gradient Descent Approach for Local Learning of Fuzzy Neural Models
Authors: Zhao, W.; Li, K.; Irwin, G. W.
Page(s): 30 - 44
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6203571
A Review of the Application of Multiobjective Evolutionary Fuzzy Systems: Current Status and Further Directions
Authors: Fazzolari, M.; Alcala, R.; Nojima, Y.; Ishibuchi, H.; Herrera, F.
Page(s): 45 - 65
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6204330
A Review of Fuzzy Cognitive Maps Research During the Last Decade
Authors: Papageorgiou, E. I.; Salmeron, J. L.
Page(s): 66 - 79
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6208855
Approaches for Reducing the Computational Cost of Interval Type-2 Fuzzy Logic Systems: Overview and Comparisons
Authors: Wu, D.
Page(s): 80 - 99
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6208856
Evolutionary Robot Wall-Following Control Using Type-2 Fuzzy Controller With Species-DE-Activated Continuous ACO
Authors: Hsu, C.-H.; Juang, C.-F.
Page(s): 100 - 112
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6212344
Preference Relations Based on Intuitionistic Multiplicative Information
Authors: Xia, M.; Xu, Z.; Liao, H.
Page(s): 113 - 133
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6212345
Adaptive Fuzzy Output Feedback Control of MIMO Nonlinear Systems With Unknown Dead-Zone Inputs
Authors: Tong, S.; Li, Y.
Page(s): 134 - 146
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6215037
Control Synthesis of Discrete-Time T–S Fuzzy Systems Based on a Novel Non-PDC Control Scheme
Authors: Xie, X.; Ma, H.; Zhao, Y.; Ding, D-.W.; Wang, Y.
Page(s): 147 - 157
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248200
Robust Observer Design for Unknown Inputs Takagi–Sugeno Models
Authors: Chadli, M.; Karimi, H. R.
Page(s): 158 - 164
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6193425
To Transmit or Not to Transmit: A Discrete Event-Triggered Communication Scheme for Networked Takagi–Sugeno Fuzzy Systems
Authors: Peng, C.; Han, Q.-L.; Yue, D.
Page(s): 164 - 170
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6202334
Fuzzy Nash Equilibriums in Crisp and Fuzzy Games
Authors: Chakeri, A.; Sheikholeslam, F.
Page(s): 171 - 176
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6213106
A Three-Domain Fuzzy Wavelet System for Simultaneous Processing of Time-Frequency Information and Fuzziness
Authors: Liu, Z.; Chen, C. L. P.; Zhang, Y.; Li, H.-X.; Wang, Y.
Page(s): 176 - 183
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6215036
A Fuzzy Measure Similarity Between Sets of Linguistic Summaries
Authors: Wilbik, A.; Keller, J. M.
Page(s): 183 - 189
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6275487
Reminder: conference paper deadline for EANN 2013
A reminder that the deadline for submitting papers to the 14th conference on Engineering Applications of Neural Networks (EANN) 2013 is 22 April 2013. This conference will be held in Halkidiki, Greece, 13-16 September, 2013.
Labels:
call for papers,
conferences,
reminder
Friday, February 22, 2013
IEEE Transactions on Neural Networks and Learning Systems: Volume 24, Issue 3, March 2013
1. Dissipativity Analysis for Discrete-Time Stochastic Neural Networks With Time-Varying Delays
Authors: Zheng-Guang Wu; Peng Shi; Hongye Su; Jian Chu
Page(s): 345 - 355
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6400254
2. Model-Based Online Learning With Kernels
Authors: Guoqi Li; Changyun Wen; Zheng Guo Li; Aimin Zhang; Feng Yang; Kezhi Mao
Page(s): 356 - 369
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6400253
3. Adaptive Control for Nonlinear Pure-Feedback Systems With High-Order Sliding Mode Observer
Authors: Jing Na; Xuemei Ren; Dongdong Zheng
Page(s): 370 - 382
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6401197
4. Low-Rank Structure Learning via Nonconvex Heuristic Recovery
Authors: Yue Deng; Qionghai Dai; Risheng Liu; Zengke Zhang; Sanqing Hu
Page(s): 383 - 396
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6403554
5. Synaptic Variability in a Cortical Neuromorphic Circuit
Authors: Mohammad Mahvash; Alice C. Parker
Page(s): 397 - 409
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6408287
6. Sampled-Data Synchronization of Chaotic Lur'e Systems With Time Delays
Authors: Zheng-Guang Wu; Peng Shi; Hongye Su; Jian Chu
Page(s): 410 - 421
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6408292
7. Multiplicative Update Rules for Concurrent Nonnegative Matrix Factorization and Maximum Margin Classification
Authors: Olga Zoidi; Anastasios Tefas; Ioannis Pitas
Page(s): 422 - 434
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6408294
8. Distributed Synchronization of Coupled Neural Networks via Randomly Occurring Control
Authors: Yang Tan; Wai Keung Wong
Page(s): 435 - 447
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6408291
9. Portfolio of Automated Trading Systems: Complexity and Learning Set Size Issues
Authors: Sarunas Raudys
Page(s): 448 - 459
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6408289
10. Regularized Mixture Density Estimation With an Analytical Setting of Shrinkage Intensities
Authors: Zohar Halbe; Maria Bortman; Mayer Aladjem
Page(s): 460 - 470
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6410430
11. Stochastic Optimal Controller Design for Uncertain Nonlinear Networked Control System via Neuro Dynamic Programming
Authors: Hao Xu; Sarangapani Jagannathan
Page(s): 471 - 484
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6410432
12. Simple Exponential Family PCA
Authors: Jun Li; Dacheng Tao
Page(s): 485 - 497
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6415281
13. Dynamics Analysis of a Population Decoding Model
Authors: Jiali Yu; Huajin Tang; Haizhou Li
Page(s): 498 - 503
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6409467
14. Learning With Kernel Smoothing Models and Low-Discrepancy Sampling
Authors: Cristiano Cervellera; Danilo Macciò
Page(s): 504 - 509
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6410431
Authors: Zheng-Guang Wu; Peng Shi; Hongye Su; Jian Chu
Page(s): 345 - 355
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6400254
2. Model-Based Online Learning With Kernels
Authors: Guoqi Li; Changyun Wen; Zheng Guo Li; Aimin Zhang; Feng Yang; Kezhi Mao
Page(s): 356 - 369
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6400253
3. Adaptive Control for Nonlinear Pure-Feedback Systems With High-Order Sliding Mode Observer
Authors: Jing Na; Xuemei Ren; Dongdong Zheng
Page(s): 370 - 382
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6401197
4. Low-Rank Structure Learning via Nonconvex Heuristic Recovery
Authors: Yue Deng; Qionghai Dai; Risheng Liu; Zengke Zhang; Sanqing Hu
Page(s): 383 - 396
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6403554
5. Synaptic Variability in a Cortical Neuromorphic Circuit
Authors: Mohammad Mahvash; Alice C. Parker
Page(s): 397 - 409
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6408287
6. Sampled-Data Synchronization of Chaotic Lur'e Systems With Time Delays
Authors: Zheng-Guang Wu; Peng Shi; Hongye Su; Jian Chu
Page(s): 410 - 421
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6408292
7. Multiplicative Update Rules for Concurrent Nonnegative Matrix Factorization and Maximum Margin Classification
Authors: Olga Zoidi; Anastasios Tefas; Ioannis Pitas
Page(s): 422 - 434
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6408294
8. Distributed Synchronization of Coupled Neural Networks via Randomly Occurring Control
Authors: Yang Tan; Wai Keung Wong
Page(s): 435 - 447
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6408291
9. Portfolio of Automated Trading Systems: Complexity and Learning Set Size Issues
Authors: Sarunas Raudys
Page(s): 448 - 459
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6408289
10. Regularized Mixture Density Estimation With an Analytical Setting of Shrinkage Intensities
Authors: Zohar Halbe; Maria Bortman; Mayer Aladjem
Page(s): 460 - 470
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6410430
11. Stochastic Optimal Controller Design for Uncertain Nonlinear Networked Control System via Neuro Dynamic Programming
Authors: Hao Xu; Sarangapani Jagannathan
Page(s): 471 - 484
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6410432
12. Simple Exponential Family PCA
Authors: Jun Li; Dacheng Tao
Page(s): 485 - 497
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6415281
13. Dynamics Analysis of a Population Decoding Model
Authors: Jiali Yu; Huajin Tang; Haizhou Li
Page(s): 498 - 503
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6409467
14. Learning With Kernel Smoothing Models and Low-Discrepancy Sampling
Authors: Cristiano Cervellera; Danilo Macciò
Page(s): 504 - 509
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6410431
Labels:
IEEE TNNLS,
journals
Thursday, February 21, 2013
Conference paper deadline: EANN 2013
The deadline for submitting papers to the 14th conference on Engineering Applications of Neural Networks (EANN) 2013 is 22 April 2013. This conference will be held in Halkidiki, Greece, 13-16 September, 2013.
Labels:
call for papers,
conferences
Wednesday, February 20, 2013
Conference paper deadline: SOCO 2013
The deadline for submitting papers to the International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO) 2013 is 20 April 2013. This conference will be held in Salamanca, Spain, 11-13 September, 2013.
Labels:
call for papers,
conferences
Tuesday, February 19, 2013
Paper submission deadline extended for IJCNN 2013
The deadline for submitting papers to the International Joint Conference on Neural Networks (IJCNN) 2013 has been extended to 1 March 2013. This conference will be held in Dallas, Texas, 4-9 August 2013.
Labels:
call for papers,
conferences,
deadline extension,
IJCNN
Evolving Systems Vol. 4, Issue 1, February 2013
Editorial
1. Introduction to the special issue on handling concept drift in adaptive information systems
Authors: Mykola Pechenizkiy & Indre Zliobaite
Abstract Full text HTML Full text PDF
Original Papers
2. Real-time algorithm for changes detection in depth of anesthesia signals
Authors: Raquel Sebastião, Margarida M. Silva, Rui Rabiço, João Gama & Teresa Mendonça
Abstract Full text HTML Full text PDF
3. Drift detection using uncertainty distribution divergence
Authors: Patrick Lindstrom, Brian Mac Namee & Sarah Jane Delany
Abstract Full text HTML Full text PDF
4. Detecting and Visualizing the Change in Classification of Customer Profiles based on Transactional Data
Authors: Edward Apeh & Bogdan Gabrys
Abstract Full text HTML Full text PDF
5. Using a classifier pool in accuracy based tracking of recurring concepts in data stream classification
Authors: Mohammad Javad Hosseini, Zahra Ahmadi & Hamid Beigy
Abstract Full text HTML Full text PDF
6. EVE: a framework for event detection
Authors: Iris Adä & Michael R. Berthold
Abstract Full text HTML Full text PDF
1. Introduction to the special issue on handling concept drift in adaptive information systems
Authors: Mykola Pechenizkiy & Indre Zliobaite
Abstract Full text HTML Full text PDF
Original Papers
2. Real-time algorithm for changes detection in depth of anesthesia signals
Authors: Raquel Sebastião, Margarida M. Silva, Rui Rabiço, João Gama & Teresa Mendonça
Abstract Full text HTML Full text PDF
3. Drift detection using uncertainty distribution divergence
Authors: Patrick Lindstrom, Brian Mac Namee & Sarah Jane Delany
Abstract Full text HTML Full text PDF
4. Detecting and Visualizing the Change in Classification of Customer Profiles based on Transactional Data
Authors: Edward Apeh & Bogdan Gabrys
Abstract Full text HTML Full text PDF
5. Using a classifier pool in accuracy based tracking of recurring concepts in data stream classification
Authors: Mohammad Javad Hosseini, Zahra Ahmadi & Hamid Beigy
Abstract Full text HTML Full text PDF
6. EVE: a framework for event detection
Authors: Iris Adä & Michael R. Berthold
Abstract Full text HTML Full text PDF
Labels:
Evolving Systems,
journals
Monday, February 18, 2013
Conference paper deadline: ICANN 2013
The deadline for submitting papers to the International Conference on Artificial Neural Networks (ICANN) 2013 is 1 March 2013. This conference will be held in Sofia, Bulgaria, 10-13 September 2013.
Labels:
call for papers,
conferences
Friday, February 15, 2013
Reminder: paper submission deadline for ICONS 2013
A reminder that the deadline for submitting papers to the 3rd International Conference on Intelligent Control and Automation Science (ICONS) 2013 is 15 March, 2013. This conference will be held in Chengdu, China, 2-4 September, 2013.
Labels:
call for papers,
conferences,
reminder
Thursday, February 14, 2013
Reminder: paper submission deadline for CIVEMSA 2013
A reminder that the deadline for submitting papers to the 2013 International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications is March 15, 2013. This conference will be held in Milan, Italy, 15-17 July, 2013.
Labels:
call for papers,
conferences,
reminder
Wednesday, February 13, 2013
Reminder: paper submission deadline for IJCCI 2013
A reminder that the paper submission deadline for the 5th International Joint Conference on Computational Intelligence (IJCCI) 2013 is March 13, 2013. This conference will be held in Vilamoura, Portugal, 20-22 September, 2013. IJCCI is a combination of three computational intelligence conferences: The International Conference on Evolutionary Computation Theory and Applications (ECTA), the International Conference on Fuzzy Computation Theory and Application (FCTA), and the International Conference on Neural Theory and Applications (NCTA).
Labels:
call for papers,
conferences,
reminder
Friday, February 8, 2013
Paper submission deadline: ICIC 2013
The deadline for submitting papers to the 9th International Conference on Intelligent Computing (ICIC) 2013 is 15 February 2013. This conference will be held in Nanning, China, 28-31 July 2013.
Labels:
call for papers,
conferences
Monday, February 4, 2013
Conference paper deadline: CIS 2013
The deadline for submitting papers to the 9th International Conference on Computational Intelligence and Security (CIS) 2013 is 30 June 2013. This conference will be held at Mount Emei, Sichuan Province, China, December 14-15 2013.
Labels:
call for papers,
conferences
Conference paper deadline: CIS 2013
The deadline for submitting papers to the 9th International Conference on Computational Intelligence and Security (CIS) 2013 is 30 June 2013. This conference will be held at Mount Emei, Sichuan Province, China, December 14-15 2013.
Labels:
call for papers,
conferences
Friday, February 1, 2013
IEEE Transactions on Evolutionary Computation: Volume 17 Issue 1 2013
1. Parent Selection Pressure Auto-Tuning for Tournament Selection in Genetic Programming
Authors: Xie, H.; Zhang, M.
Page(s): 1 - 19
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151120
2. A Hybrid Multiobjective Evolutionary Algorithm for Multiobjective Optimization Problems
Authors:Tang, L.; Wang, X.
Page(s): 20 - 45
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151119
3. Classification of Electromyographic Signals: Comparing Evolvable Hardware to Conventional Classifiers
Authors:Kaufmann, P.; Glette, K.; Gruber, T.; Platzner, M.; Torresen, J.; Sick, B.
Page(s): 46 - 63
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151104
4. A New Sequential Covering Strategy for Inducing Classification Rules With Ant Colony Algorithms
Authors:Otero, F. E. B.; Freitas, A. A.; Johnson, C. G.
Page(s): 64 - 76
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151113
5. Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms
Authors:Saxena, D. K.; Duro, J. A.; Tiwari, A.; Deb, K.; Zhang, Q.
Page(s): 77 - 99
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151114
6. On the Advantages of Variable Length GRNs for the Evolution of Multicellular Developmental Systems
Authors:Trefzer, M. A.; Kuyucu, T.; Miller, J. F.; Tyrrell, A. M.
Page(s): 100 - 121
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151118
7. The Transferability Approach: Crossing the Reality Gap in Evolutionary Robotics
Authors:Koos, S.; Mouret, J.-B.; Doncieux, S.
Page(s): 122 - 145
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151107
8. The Use of an Analytic Quotient Operator in Genetic Programming
Authors:Ni, J.; Drieberg, R. H.; Rockett, P. I.
Page(s): 146 - 152
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6186815
Authors: Xie, H.; Zhang, M.
Page(s): 1 - 19
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151120
2. A Hybrid Multiobjective Evolutionary Algorithm for Multiobjective Optimization Problems
Authors:Tang, L.; Wang, X.
Page(s): 20 - 45
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151119
3. Classification of Electromyographic Signals: Comparing Evolvable Hardware to Conventional Classifiers
Authors:Kaufmann, P.; Glette, K.; Gruber, T.; Platzner, M.; Torresen, J.; Sick, B.
Page(s): 46 - 63
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151104
4. A New Sequential Covering Strategy for Inducing Classification Rules With Ant Colony Algorithms
Authors:Otero, F. E. B.; Freitas, A. A.; Johnson, C. G.
Page(s): 64 - 76
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151113
5. Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms
Authors:Saxena, D. K.; Duro, J. A.; Tiwari, A.; Deb, K.; Zhang, Q.
Page(s): 77 - 99
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151114
6. On the Advantages of Variable Length GRNs for the Evolution of Multicellular Developmental Systems
Authors:Trefzer, M. A.; Kuyucu, T.; Miller, J. F.; Tyrrell, A. M.
Page(s): 100 - 121
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151118
7. The Transferability Approach: Crossing the Reality Gap in Evolutionary Robotics
Authors:Koos, S.; Mouret, J.-B.; Doncieux, S.
Page(s): 122 - 145
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151107
8. The Use of an Analytic Quotient Operator in Genetic Programming
Authors:Ni, J.; Drieberg, R. H.; Rockett, P. I.
Page(s): 146 - 152
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6186815
Thursday, January 24, 2013
Reminder: paper submission deadline for ICIC 2013
A reminder that the paper submission deadline for the 2013 International Conference on Intelligent Computing (ICIC) is February 15, 2013. This conference will be held in Nanning, China, July 28-31, 2013.
Labels:
call for papers,
conferences,
reminder
Wednesday, January 23, 2013
Paper submission deadline: ICONIP 2013
The paper submission deadline for the 20th International Conference on Neural Information Processing (ICONIP) 2013 is 1 June 2013. This conference will be held in Daegu, Korea, 3-7 November, 2013.
Labels:
call for papers,
conferences
Tuesday, January 22, 2013
Down with middlemen!
If there is one thing that the rise of e-commerce sites like eBay and Amazon.com has shown it is that the middleman is doomed. Entire bookshop chains like Borders have vanished from the face of the Earth, largely because they were unable to compete with a model that has no physical presence. Bookshops are middlemen: they connect one group of people (publishers) with another group of people (book purchasers, consumers). And the one thing that the Internet is really good at is getting rid of middlemen. Even publishers are middlemen, they don't produce the product, the authors do. The rise of self-publishing is the strongest indicator yet that the publishers are, like bookshops, an endangered species.
Online sales sites like e-bay (and Trademe, Gumtree) have also had an impact on retailers, and second hand dealers in particular: when we moved from Australia back to New Zealand, we had to sell our car and a few others bits and pieces. We didn't take the car to a second hand car dealer, or call a second hand furniture shop about our excess furniture: we just put some adverts up on Gumtree. While it is harder for online retailers to compete on items that require large volumes such as groceries, for smaller-volume or speciality items online sites are slowly but surely eliminating the traditional merchants. In the last ten years the only time I've booked air travel through a travel agent was for business travel, and then only because my employers had a policy of booking through certain agents.
This all raises a question: what is a middleman? If we define middlemen to be someone who does not produce, add value or provide a service that cannot be automated, then a huge number of current professions come under that heading: real estate agents, immigration agents, literary agent, property management agent... Basically, anyone with the word "agent" in their job title is a middleman and is doomed.
How does this relate to computational intelligence or academia? Well, what if journals and universities are really middlemen?
In the past I have blogged about how open-access journals are the future of academic publishing. But how much value do journals of any kind really add? A journal will arange peer-review, format the accepted articles and assign volume/page/DOI numbers. Apart from peer-review, each of these steps can be automated. In an age when every article published is available online, and are indexed by sites like Google Scholar and Citeseer, journals don't add much to the publicity of an article - in fact, the most effective way of publicising an article seems to be to blog or tweet about it. This is still the major advantage of open-access journals, as anyone with an interest can download and read the article (and hopefully cite it).
The measure of the quality of an article is the number of citations it receives, much more so than the supposed quality of the journal it is published in. Metrics like impact factor are so bogus as to be meaningless, despite the arrogant attitude of editors who deem submissions unworthy of publication in their august journal, without bothering to send them to peer-review. A good article will be cited more, no matter where it is published. Articles that aren't useful won't be cited. In other words, articles now can stand on their own, they don't need the support of journals to be useful. The journals, therefore, are middlemen, standing between the producers (the people who do the research and write it up) and consumers (the people who are reading and citing the research). Do we really need journals to arrange peer review? Or is there scope for a journal-agnostic, peer-review service for individual articles?
If individual articles can now stand on their own, how about individual academics? The Khan academy has been described as a revolution in teaching numerous times, and open courses like those offered by MIT have had thousands of students. In many ways universities are middlemen, providing access to resources (academic staff) to consumers (students). Universities provide tuition, consultation (students can ask their instructors for clarification), assessment (tests, assignments and exams), and accreditation (a degree / diploma from an institution has a certain credibility). Tuition can be supplied directly by the lecturer via sites like YouTube. Consultation can be done via discussion boards and live chat. Accreditation remains as an open problem. There are a huge number of accreditations available in a vast range of technical subjects: the IT industry in many ways leads the way in this, with certifications from Microsoft, Cisco, CompTIA and others. Professional organisations like the IEEE publish bodies of knowledge that graduates in certain disciplines are expected to know, and it's only a matter of time before this is expanded to include computational intelligence. Practical work is harder to deal with, but even then the large amount of open source software available means that anyone with a cobbled-together Linux box and a basic internet connection can not only do the lecture and practical work associated with undergrad study but also access the accreditation offered by numerous organisations.
The only problem for which I cannot see an obvious solution is, how would the lecturers get paid? Locking material behind paywalls won't work, people just won't use it. Also, a fixed fee won't work either: $500 might not seem like much for someone in the western world, but for someone in parts of Africa, it's more than they see in a year. The pay-what-you can model might work: this is where someone pays as much as they think something is worth, or as much as they can afford. A few people might take advantage and pay nothing when they could afford to pay, but most people are pretty honest and will pay a fair price. The accreditation agencies could also pay a referral fee to lecturers who direct students to their services, much like the Amazon affiliates program.
Universities would still survive, there still needs to be places where research is carried out, and training of the next generation of researchers (postgraduate students) takes place. The survival of journals is a bit less certain, as self-published peer-reviewed articles are much easier to do. Whatever happens, though, middlemen are on the way out.
Online sales sites like e-bay (and Trademe, Gumtree) have also had an impact on retailers, and second hand dealers in particular: when we moved from Australia back to New Zealand, we had to sell our car and a few others bits and pieces. We didn't take the car to a second hand car dealer, or call a second hand furniture shop about our excess furniture: we just put some adverts up on Gumtree. While it is harder for online retailers to compete on items that require large volumes such as groceries, for smaller-volume or speciality items online sites are slowly but surely eliminating the traditional merchants. In the last ten years the only time I've booked air travel through a travel agent was for business travel, and then only because my employers had a policy of booking through certain agents.
This all raises a question: what is a middleman? If we define middlemen to be someone who does not produce, add value or provide a service that cannot be automated, then a huge number of current professions come under that heading: real estate agents, immigration agents, literary agent, property management agent... Basically, anyone with the word "agent" in their job title is a middleman and is doomed.
How does this relate to computational intelligence or academia? Well, what if journals and universities are really middlemen?
In the past I have blogged about how open-access journals are the future of academic publishing. But how much value do journals of any kind really add? A journal will arange peer-review, format the accepted articles and assign volume/page/DOI numbers. Apart from peer-review, each of these steps can be automated. In an age when every article published is available online, and are indexed by sites like Google Scholar and Citeseer, journals don't add much to the publicity of an article - in fact, the most effective way of publicising an article seems to be to blog or tweet about it. This is still the major advantage of open-access journals, as anyone with an interest can download and read the article (and hopefully cite it).
The measure of the quality of an article is the number of citations it receives, much more so than the supposed quality of the journal it is published in. Metrics like impact factor are so bogus as to be meaningless, despite the arrogant attitude of editors who deem submissions unworthy of publication in their august journal, without bothering to send them to peer-review. A good article will be cited more, no matter where it is published. Articles that aren't useful won't be cited. In other words, articles now can stand on their own, they don't need the support of journals to be useful. The journals, therefore, are middlemen, standing between the producers (the people who do the research and write it up) and consumers (the people who are reading and citing the research). Do we really need journals to arrange peer review? Or is there scope for a journal-agnostic, peer-review service for individual articles?
If individual articles can now stand on their own, how about individual academics? The Khan academy has been described as a revolution in teaching numerous times, and open courses like those offered by MIT have had thousands of students. In many ways universities are middlemen, providing access to resources (academic staff) to consumers (students). Universities provide tuition, consultation (students can ask their instructors for clarification), assessment (tests, assignments and exams), and accreditation (a degree / diploma from an institution has a certain credibility). Tuition can be supplied directly by the lecturer via sites like YouTube. Consultation can be done via discussion boards and live chat. Accreditation remains as an open problem. There are a huge number of accreditations available in a vast range of technical subjects: the IT industry in many ways leads the way in this, with certifications from Microsoft, Cisco, CompTIA and others. Professional organisations like the IEEE publish bodies of knowledge that graduates in certain disciplines are expected to know, and it's only a matter of time before this is expanded to include computational intelligence. Practical work is harder to deal with, but even then the large amount of open source software available means that anyone with a cobbled-together Linux box and a basic internet connection can not only do the lecture and practical work associated with undergrad study but also access the accreditation offered by numerous organisations.
The only problem for which I cannot see an obvious solution is, how would the lecturers get paid? Locking material behind paywalls won't work, people just won't use it. Also, a fixed fee won't work either: $500 might not seem like much for someone in the western world, but for someone in parts of Africa, it's more than they see in a year. The pay-what-you can model might work: this is where someone pays as much as they think something is worth, or as much as they can afford. A few people might take advantage and pay nothing when they could afford to pay, but most people are pretty honest and will pay a fair price. The accreditation agencies could also pay a referral fee to lecturers who direct students to their services, much like the Amazon affiliates program.
Universities would still survive, there still needs to be places where research is carried out, and training of the next generation of researchers (postgraduate students) takes place. The survival of journals is a bit less certain, as self-published peer-reviewed articles are much easier to do. Whatever happens, though, middlemen are on the way out.
Labels:
open source,
publishing,
rants,
research craft
Monday, January 21, 2013
Paper submission deadline: CIVEMSA 2013
The deadline for submitting papers to the 2013 International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications is March 15, 2013. This conference will be held in Milan, Italy, 15-17 July, 2013.
Labels:
call for papers,
conferences
Friday, January 18, 2013
IEEE Transactions on Autonomous Mental Development: Volume 4, Issue 4
1. A Unified Account of Gaze Following
Authors: Jasso, H.; Triesch, J.; Deák, G.; Lewis, J.M.
Page(s): 257 - 272
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6243178
2. A Developmental Approach to Structural Self-Organization in Reservoir Computing
Authors: Jun Yin; Yan Meng; Yaochu Jin
Page(s): 273 - 289
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6122492
3. Predicting Visual Stimuli From Self-Induced Actions: An Adaptive Model of a Corollary Discharge Circuit
Authors: Ruesch, J.; Ferreira, R.; Bernardino, A.
Page(s): 290 - 304
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6202677
4. Human-Recognizable Robotic Gestures
Authors: Cabibihan, J.; Wing-Chee So; Pramanik, S.
Page(s): 305 - 314
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6246674
5. Intrinsic Motivation and Introspection in Reinforcement Learning
Authors: Merrick, K.E.
Page(s): 315 - 329
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6239563
6. Model-Free Reinforcement Learning of Impedance Control in Stochastic Environments
Authors: Stulp, F.; Buchli, J.; Ellmer, A.; Mistry, M.; Theodorou, E.A.; Schaal, S.
Page(s): 330 - 341
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6227337
Authors: Jasso, H.; Triesch, J.; Deák, G.; Lewis, J.M.
Page(s): 257 - 272
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6243178
2. A Developmental Approach to Structural Self-Organization in Reservoir Computing
Authors: Jun Yin; Yan Meng; Yaochu Jin
Page(s): 273 - 289
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6122492
3. Predicting Visual Stimuli From Self-Induced Actions: An Adaptive Model of a Corollary Discharge Circuit
Authors: Ruesch, J.; Ferreira, R.; Bernardino, A.
Page(s): 290 - 304
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6202677
4. Human-Recognizable Robotic Gestures
Authors: Cabibihan, J.; Wing-Chee So; Pramanik, S.
Page(s): 305 - 314
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6246674
5. Intrinsic Motivation and Introspection in Reinforcement Learning
Authors: Merrick, K.E.
Page(s): 315 - 329
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6239563
6. Model-Free Reinforcement Learning of Impedance Control in Stochastic Environments
Authors: Stulp, F.; Buchli, J.; Ellmer, A.; Mistry, M.; Theodorou, E.A.; Schaal, S.
Page(s): 330 - 341
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6227337
Thursday, January 17, 2013
Reminder: paper submission deadline for UKCI 2013
A reminder that the paper submission deadline for the UK Workshop on Computational Intelligence (UKCI) 2013 is 17 May 2013. This workshop will be held in Guildford, UK, 9-11 September, 2013.
Labels:
call for papers,
conferences,
reminder
IEEE Transactions on Computational Intelligence and AI in Games: Volume 4, Issue 4
1. Ensemble Determinization in Monte Carlo Tree Search for the Imperfect Information Card Game Magic: The Gathering
Authors: Cowling, P.I.; Ward, C.D.; Powley, E.J.
Page(s): 241 - 257
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6218176
2. Introducing Individual and Social Learning Into Evolutionary Checkers
Authors: Al-Khateeb, B.; Kendall, G.
Page(s): 258 - 269
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6243194
3. Evolutionary Design of FreeCell Solvers
Authors: Elyasaf, A.; Hauptman, A.; Sipper, M.
Page(s): 270 - 281
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6249736
4. Monte Carlo Tree Search for the Hide-and-Seek Game Scotland Yard
Authors: Nijssen, P.; Winands, M.H.M.
Page(s): 282 - 294
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6266709
5. AntBot: Ant Colonies for Video Games
Authors: Recio, G.; Martin, E.; Estebanez, C.; Saez, Y.
Page(s): 295 - 308
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6262464
6. Bayesian-Game-Based Fuzzy Reinforcement Learning Control for Decentralized POMDPs
Authors: Sharma, R.; Spaan, M.T.J.
Page(s): 309 - 328
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6263288
Authors: Cowling, P.I.; Ward, C.D.; Powley, E.J.
Page(s): 241 - 257
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6218176
2. Introducing Individual and Social Learning Into Evolutionary Checkers
Authors: Al-Khateeb, B.; Kendall, G.
Page(s): 258 - 269
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6243194
3. Evolutionary Design of FreeCell Solvers
Authors: Elyasaf, A.; Hauptman, A.; Sipper, M.
Page(s): 270 - 281
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6249736
4. Monte Carlo Tree Search for the Hide-and-Seek Game Scotland Yard
Authors: Nijssen, P.; Winands, M.H.M.
Page(s): 282 - 294
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6266709
5. AntBot: Ant Colonies for Video Games
Authors: Recio, G.; Martin, E.; Estebanez, C.; Saez, Y.
Page(s): 295 - 308
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6262464
6. Bayesian-Game-Based Fuzzy Reinforcement Learning Control for Decentralized POMDPs
Authors: Sharma, R.; Spaan, M.T.J.
Page(s): 309 - 328
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6263288
Labels:
IEEE TCIAIG,
journals
Wednesday, January 16, 2013
IEEE Transactions on Neural Networks and Learning Systems: Volume 24, Issue 2, February 2013
1. Stability for Neural Networks With Time-Varying Delays via Some New Approaches
Authors: Oh-Min Kwon; Myeong-Jin Park; Sang-Moon Lee; Ju H. Park; Eun-Jong Cha
Page(s): 181 - 193
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6376233
2. Sequential Projection-Based Metacognitive Learning in a Radial Basis Function Network for Classification Problems
Authors: Giduthuri Sateesh Babu; Sundaram Suresh
Page(s): 194 - 206
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6392289
3. Developing a Local Least-Squares Support Vector Machines-Based Neuro-Fuzzy Model for Nonlinear and Chaotic Time Series Prediction
Authors: Arash Miranian; Majid Abdollahzade
Page(s): 207 - 218
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6375845
4. Radial Basis Function Network Training Using a Nonsymmetric Partition of the Input Space and Particle Swarm Optimization
Authors: Alex Alexandridis; Eva Chondrodima; Haralambos Sarimveis
Page(s): 219 - 230
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6395832
5. Compositional Generative Mapping for Tree-Structured Data—Part II: Topographic Projection Model
Authors: Davide Bacciu; Alessio Micheli; Alessandro Sperduti
Page(s): 231 - 247
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6395856
6. Efficient Multitemplate Learning for Structured Prediction
Authors: Qi Mao; Ivor Wai-Hung Tsang
Page(s): 248 - 261
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6387742
7. Formulating Robust Linear Regression Estimation as a One-Class LDA Criterion: Discriminative Hat Matrix
Authors: Franck Dufrenois; Jean Charles Noyer
Page(s): 262 - 273
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6384805
8. Fuzzy-Neural-Network Inherited Sliding-Mode Control for Robot Manipulator Including Actuator Dynamics
Authors: Rong-Jong Wai; Rajkumar Muthusamy
Page(s): 274 - 287
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6392290
9. Generalization Performance of Fisher Linear Discriminant Based on Markov Sampling
Authors: Bin Zou; Luoqing Li; Zongben Xu; Tao Luo; Yuan Yan Tang
Page(s): 288 - 300
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6392972
10. Selective Positive–Negative Feedback Produces the Winner-Take-All Competition in Recurrent Neural Networks
Authors: Shuai Li; Bo Liu; Yangming Li
Page(s): 301 - 309
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6392288
11. Identification and Prediction of Dynamic Systems Using an Interactively Recurrent Self-Evolving Fuzzy Neural Network
Authors: Yang-Yin Lin; Jyh-Yeong Chang; Chin-Teng Lin
Page(s): 310 - 321
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6399606
12. New Discrete-Time Recurrent Neural Network Proposal for Quadratic Optimization With General Linear Constraints
Authors: MarÃa José Pérez-Ilzarbe
Page(s): 322 - 328
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6376234
13. Incorporating Mean Template Into Finite Mixture Model for Image Segmentation
Authors: Hui Zhang; Q. M. Jonathan Wu; Thanh Minh Nguyen
Page(s): 328 - 335
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6384806
14. Hyperbolic Hopfield Neural Networks
Authors: Masaki Kobayashi
Page(s): 335 - 341
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6389780
Authors: Oh-Min Kwon; Myeong-Jin Park; Sang-Moon Lee; Ju H. Park; Eun-Jong Cha
Page(s): 181 - 193
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6376233
2. Sequential Projection-Based Metacognitive Learning in a Radial Basis Function Network for Classification Problems
Authors: Giduthuri Sateesh Babu; Sundaram Suresh
Page(s): 194 - 206
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6392289
3. Developing a Local Least-Squares Support Vector Machines-Based Neuro-Fuzzy Model for Nonlinear and Chaotic Time Series Prediction
Authors: Arash Miranian; Majid Abdollahzade
Page(s): 207 - 218
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6375845
4. Radial Basis Function Network Training Using a Nonsymmetric Partition of the Input Space and Particle Swarm Optimization
Authors: Alex Alexandridis; Eva Chondrodima; Haralambos Sarimveis
Page(s): 219 - 230
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6395832
5. Compositional Generative Mapping for Tree-Structured Data—Part II: Topographic Projection Model
Authors: Davide Bacciu; Alessio Micheli; Alessandro Sperduti
Page(s): 231 - 247
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6395856
6. Efficient Multitemplate Learning for Structured Prediction
Authors: Qi Mao; Ivor Wai-Hung Tsang
Page(s): 248 - 261
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6387742
7. Formulating Robust Linear Regression Estimation as a One-Class LDA Criterion: Discriminative Hat Matrix
Authors: Franck Dufrenois; Jean Charles Noyer
Page(s): 262 - 273
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6384805
8. Fuzzy-Neural-Network Inherited Sliding-Mode Control for Robot Manipulator Including Actuator Dynamics
Authors: Rong-Jong Wai; Rajkumar Muthusamy
Page(s): 274 - 287
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6392290
9. Generalization Performance of Fisher Linear Discriminant Based on Markov Sampling
Authors: Bin Zou; Luoqing Li; Zongben Xu; Tao Luo; Yuan Yan Tang
Page(s): 288 - 300
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6392972
10. Selective Positive–Negative Feedback Produces the Winner-Take-All Competition in Recurrent Neural Networks
Authors: Shuai Li; Bo Liu; Yangming Li
Page(s): 301 - 309
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6392288
11. Identification and Prediction of Dynamic Systems Using an Interactively Recurrent Self-Evolving Fuzzy Neural Network
Authors: Yang-Yin Lin; Jyh-Yeong Chang; Chin-Teng Lin
Page(s): 310 - 321
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6399606
12. New Discrete-Time Recurrent Neural Network Proposal for Quadratic Optimization With General Linear Constraints
Authors: MarÃa José Pérez-Ilzarbe
Page(s): 322 - 328
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6376234
13. Incorporating Mean Template Into Finite Mixture Model for Image Segmentation
Authors: Hui Zhang; Q. M. Jonathan Wu; Thanh Minh Nguyen
Page(s): 328 - 335
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6384806
14. Hyperbolic Hopfield Neural Networks
Authors: Masaki Kobayashi
Page(s): 335 - 341
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6389780
Labels:
IEEE TNNLS,
journals
Tuesday, January 15, 2013
Reminder: paper submission deadline for CEC 2013
A reminder that the deadline for submitting papers to the IEEE Congress on Evolutionary Computation (CEC) 2013 is February 15, 2013. This conference will be held in Cancun, Mexico, June 20-23, 2013.
Labels:
call for papers,
conferences,
reminder
Monday, January 14, 2013
Reminder: paper submission paper deadline for ICANN 2013
A reminder that the deadline for submitting papers to the 23rd International Conference on Neural Networks (ICANN) 2013 is February 15, 2013. This conference will be held in Sofia, Bulgaria, September 10-13, 2013.
Labels:
call for papers,
conferences,
reminder
Thursday, January 3, 2013
Reminder: paper submission deadline for BICS 2013
A reminder that the deadline for submitting papers to the 2013 International Conference on Brain-Inspired Cognitive Systems (BICS) is February 1, 2013. This conference will be held in Beijing, China, June 9-11, 2013.
Labels:
call for papers,
conferences,
reminder
Wednesday, January 2, 2013
IEEE Transactions on Neural Networks and Learning Systems: Volume 24, Issue 1, January 2013
1. Editorial: A Successful Change From TNN to TNNLS and a Very Successful Year
Authors: Derong Liu
Page(s): 1 - 7
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6380627
2. Mixture Subclass Discriminant Analysis Link to Restricted Gaussian Model and Other Generalizations
Authors: Nikolaos Gkalelis; Vasileios Mezaris; Ioannis Kompatsiaris; Tania Stathaki
Page(s): 8 - 21
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6360018
3. Density-Preserving Sampling: Robust and Efficient Alternative to Cross-Validation for Error Estimation
Authors: Marcin Budka; Bogdan Gabrys
Page(s): 22 - 34
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6360017
4. Two-Stage Nonnegative Sparse Representation for Large-Scale Face Recognition
Authors: Ran He; Wei-Shi Zheng; Bao-Gang Hu; Xiang-Wei Kong
Page(s): 35 - 46
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6365317
5. Projection-Pursuit-Based Method for Blind Separation of Nonnegative Sources
Authors: Zuyuan Yang; Yong Xiang; Yue Rong; Shengli Xie
Page(s): 47 - 57
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6365335
6. Synchronization for Coupled Neural Networks With Interval Delay: A Novel Augmented Lyapunov–Krasovskii Functional Method
Authors: Huaguang Zhang; Dawei Gong; Bing Chen; Zhenwei Liu
Page(s): 58 - 70
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6365364
7. Observer-Based Adaptive Neural Network Control for Nonlinear Stochastic Systems With Time Delay
Authors: Qi Zhou; Peng Shi; Shengyuan Xu; Hongyi Li
Page(s): 71 - 80
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6365333
8. Qualitative Adaptive Reward Learning With Success Failure Maps: Applied to Humanoid Robot Walking
Authors: John Nassour; Vincent Hugel; Fethi Ben Ouezdou; Gordon Cheng
Page(s): 81 - 93
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6365318
9. Novel Z-Domain Precoding Method for Blind Separation of Spatially Correlated Signals
Authors: Yong Xiang; Dezhong Peng; Yang Xiang; Song Guo
Page(s): 94 - 105
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6365334
10. Local Coordinates Alignment With Global Preservation for Dimensionality Reduction
Authors: Jing Chen; Zhengming Ma; Yang Liu
Page(s): 106 - 117
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6365829
11. Hopf Bifurcation of an $(n+1)$ -Neuron Bidirectional Associative Memory Neural Network Model With Delays
Authors: Min Xiao; Wei Xing Zheng; Jinde Cao
Page(s): 118 - 132
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6365830
12. Prime Discriminant Simplicial Complex
Authors: Junping Zhang; Ziyu Xie; Stan Z. Li
Page(s): 133 - 144
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6353263
13. Finite-Horizon Control-Constrained Nonlinear Optimal Control Using Single Network Adaptive Critics
Authors: Ali Heydari; Sivasubramanya N. Balakrishnan
Page(s): 145 - 157
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6377305
14. Feature Combiners With Gate-Generated Weights for Classification
Authors: Adil Omari; AnÃbal R. Figueiras-Vidal
Page(s): 158 - 163
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6365375
15. Competitive Learning With Pairwise Constraints
Authors: Thiago F. Covões; Eduardo R. Hruschka; Joydeep Ghosh
Page(s): 164 - 169
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6365363
16. Infinite Hidden Conditional Random Fields for Human Behavior Analysis
Authors: Konstantinos Bousmalis; Stefanos Zafeiriou; Louis-Philippe Morency; Maja Pantic
Page(s): 170 - 177
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6365828
Authors: Derong Liu
Page(s): 1 - 7
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6380627
2. Mixture Subclass Discriminant Analysis Link to Restricted Gaussian Model and Other Generalizations
Authors: Nikolaos Gkalelis; Vasileios Mezaris; Ioannis Kompatsiaris; Tania Stathaki
Page(s): 8 - 21
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6360018
3. Density-Preserving Sampling: Robust and Efficient Alternative to Cross-Validation for Error Estimation
Authors: Marcin Budka; Bogdan Gabrys
Page(s): 22 - 34
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6360017
4. Two-Stage Nonnegative Sparse Representation for Large-Scale Face Recognition
Authors: Ran He; Wei-Shi Zheng; Bao-Gang Hu; Xiang-Wei Kong
Page(s): 35 - 46
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6365317
5. Projection-Pursuit-Based Method for Blind Separation of Nonnegative Sources
Authors: Zuyuan Yang; Yong Xiang; Yue Rong; Shengli Xie
Page(s): 47 - 57
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6365335
6. Synchronization for Coupled Neural Networks With Interval Delay: A Novel Augmented Lyapunov–Krasovskii Functional Method
Authors: Huaguang Zhang; Dawei Gong; Bing Chen; Zhenwei Liu
Page(s): 58 - 70
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6365364
7. Observer-Based Adaptive Neural Network Control for Nonlinear Stochastic Systems With Time Delay
Authors: Qi Zhou; Peng Shi; Shengyuan Xu; Hongyi Li
Page(s): 71 - 80
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6365333
8. Qualitative Adaptive Reward Learning With Success Failure Maps: Applied to Humanoid Robot Walking
Authors: John Nassour; Vincent Hugel; Fethi Ben Ouezdou; Gordon Cheng
Page(s): 81 - 93
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6365318
9. Novel Z-Domain Precoding Method for Blind Separation of Spatially Correlated Signals
Authors: Yong Xiang; Dezhong Peng; Yang Xiang; Song Guo
Page(s): 94 - 105
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6365334
10. Local Coordinates Alignment With Global Preservation for Dimensionality Reduction
Authors: Jing Chen; Zhengming Ma; Yang Liu
Page(s): 106 - 117
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6365829
11. Hopf Bifurcation of an $(n+1)$ -Neuron Bidirectional Associative Memory Neural Network Model With Delays
Authors: Min Xiao; Wei Xing Zheng; Jinde Cao
Page(s): 118 - 132
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6365830
12. Prime Discriminant Simplicial Complex
Authors: Junping Zhang; Ziyu Xie; Stan Z. Li
Page(s): 133 - 144
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6353263
13. Finite-Horizon Control-Constrained Nonlinear Optimal Control Using Single Network Adaptive Critics
Authors: Ali Heydari; Sivasubramanya N. Balakrishnan
Page(s): 145 - 157
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6377305
14. Feature Combiners With Gate-Generated Weights for Classification
Authors: Adil Omari; AnÃbal R. Figueiras-Vidal
Page(s): 158 - 163
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6365375
15. Competitive Learning With Pairwise Constraints
Authors: Thiago F. Covões; Eduardo R. Hruschka; Joydeep Ghosh
Page(s): 164 - 169
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6365363
16. Infinite Hidden Conditional Random Fields for Human Behavior Analysis
Authors: Konstantinos Bousmalis; Stefanos Zafeiriou; Louis-Philippe Morency; Maja Pantic
Page(s): 170 - 177
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6365828
Labels:
IEEE TNNLS,
journals
Tuesday, January 1, 2013
Reminder: paper submission deadline for IJCNN 2013
A reminder that the deadline for submitting papers to the IEEE International Joint Conference on Neural Networks (IJCNN) 2013 is February 22, 2013. This conference will be held in Dallas, Texas, August 4-9, 2013.
Labels:
call for papers,
conferences,
reminder
Reminder: paper submission deadline for ICICIP 2013
A reminder that the deadline for submitting papers to the Fourth International Conference on Intelligent Control and Information Processing (ICICIP) 2013 is February 1, 2013. This conference will be held in Beijing, China, June 9-11, 2013.
Labels:
call for papers,
conferences,
reminder
Friday, December 28, 2012
Reminder: paper submission deadline for IJCAI 2013
A reminder that the paper submission deadline for the 23rd International Joint Conference on Artificial Intelligence (IJCAI) 2013 is January 31, 2013. This conference will be held in Beijing, China, August 3-9, 2013.
Labels:
call for papers,
conferences
Thursday, December 20, 2012
Conference paper deadline: ICANN 2013
The deadline for submitting papers to the 23rd International Conference on Neural Networks (ICANN) 2013 is February 15, 2013. This conference will be held in Sofia, Bulgaria, September 10-13, 2013.
Labels:
call for papers,
conferences
Friday, December 14, 2012
Reminder: paper submission deadline for ICONS 2013
A reminder that the deadline for submitting papers to the 3rd International Conference on Intelligent Control and Automation Science (ICONS) 2013 is 15 March, 2013. This conference will be held in Chengdu, China, 2-4 September, 2013.
Labels:
call for papers,
conferences,
reminder
Wednesday, December 12, 2012
IEEE Transactions on Fuzzy Systems: Volume 20 Issue 6
1. Robust Nonfragile H_\infty Filtering of Fuzzy Systems With Linear Fractional Parametric Uncertainties
Chang, X-.H.
Page(s): 1001 - 1011
2. Adaptive Fuzzy Control of a Class of Nonlinear Systems by Fuzzy Approximation Approach
Chen, B.; Liu, X. P.; Ge, S. S.; Lin, C.
Page(s): 1012 - 1021
3. Robust Control for Fuzzy Dynamical Systems: Uniform Ultimate Boundedness and Optimality
Huang, J.; Chen, Y-.H.; Cheng, A.
Page(s): 1022 - 1031
4. An Extension of Fuzzy Measures to Multisets and Its Relation to Distorted Probabilities
Torra, V.; Stokes, K.; Narukawa, Y.
Page(s): 1032 - 1045
5. Observer-Based Piecewise Affine Output Feedback Controller Synthesis of Continuous-Time T–S Fuzzy Affine Dynamic Systems Using Quantized Measurements
Qiu, J.; Feng, G.; Gao, H.
Page(s): 1046 - 1062
6. A Global Exponential Fuzzy Observer Design for Time-Delay Takagi–Sugeno Uncertain Discrete Fuzzy Bilinear Systems With Disturbance
Tsai, S.-H.
Page(s): 1063 - 1075
7. Improved Structure Optimization for Fuzzy-Neural Networks
Pizzileo, B.; Li, K.; Irwin, G. W.; Zhao, W.
Page(s): 1076 - 1089
8. A Kernel-Based Framework for Learning Graded Relations From Data
Waegeman, W.; Pahikkala, T.; Airola, A.; Salakoski, T.; Stock, M.; De Baets, B.
Page(s): 1090 - 1101
9. Preference Learning Using the Choquet Integral: The Case of Multipartite Ranking
Tehrani, A. F.; Cheng, W.; Hullermeier, E.
Page(s): 1102 - 1113
10. A Novel Approach to Filter Design for T–S Fuzzy Discrete-Time Systems With Time-Varying Delay
Su, X.; Shi, P.; Wu, L.; Song, Y-.D.
Page(s): 1114 - 1129
11. Fuzzy c-Means Algorithms for Very Large Data
Havens, T. C.; Bezdek, J. C.; Leckie, C.; Hall, L. O.; Palaniswami, M.
Page(s): 1130 - 1146
12. TSK Fuzzy CMAC-Based Robust Adaptive Backstepping Control for Uncertain Nonlinear Systems
Lin, C.-M.; Li, H.-Y.
Page(s): 1147 - 1154
13. Uncertain Alternating Renewal Process and Its Application
Yao, K.; Li, X.
Page(s): 1154 - 1160
14. LMI Solution for Robust Static Output Feedback Control of Discrete Takagi–Sugeno Fuzzy Models
Chadli, M.; Guerra, T. M.
Page(s): 1160 - 1165
15. Relaxed Stabilization Criterion for T–S Fuzzy Systems by Minimum-Type Piecewise-Lyapunov-Function-Based Switching Fuzzy Controller
Chen, Y-.J.; Ohtake, H.; Tanaka, K.; Wang, W-.J.; Wang, H. O.
Page(s): 1166 - 1173
Chang, X-.H.
Page(s): 1001 - 1011
2. Adaptive Fuzzy Control of a Class of Nonlinear Systems by Fuzzy Approximation Approach
Chen, B.; Liu, X. P.; Ge, S. S.; Lin, C.
Page(s): 1012 - 1021
3. Robust Control for Fuzzy Dynamical Systems: Uniform Ultimate Boundedness and Optimality
Huang, J.; Chen, Y-.H.; Cheng, A.
Page(s): 1022 - 1031
4. An Extension of Fuzzy Measures to Multisets and Its Relation to Distorted Probabilities
Torra, V.; Stokes, K.; Narukawa, Y.
Page(s): 1032 - 1045
5. Observer-Based Piecewise Affine Output Feedback Controller Synthesis of Continuous-Time T–S Fuzzy Affine Dynamic Systems Using Quantized Measurements
Qiu, J.; Feng, G.; Gao, H.
Page(s): 1046 - 1062
6. A Global Exponential Fuzzy Observer Design for Time-Delay Takagi–Sugeno Uncertain Discrete Fuzzy Bilinear Systems With Disturbance
Tsai, S.-H.
Page(s): 1063 - 1075
7. Improved Structure Optimization for Fuzzy-Neural Networks
Pizzileo, B.; Li, K.; Irwin, G. W.; Zhao, W.
Page(s): 1076 - 1089
8. A Kernel-Based Framework for Learning Graded Relations From Data
Waegeman, W.; Pahikkala, T.; Airola, A.; Salakoski, T.; Stock, M.; De Baets, B.
Page(s): 1090 - 1101
9. Preference Learning Using the Choquet Integral: The Case of Multipartite Ranking
Tehrani, A. F.; Cheng, W.; Hullermeier, E.
Page(s): 1102 - 1113
10. A Novel Approach to Filter Design for T–S Fuzzy Discrete-Time Systems With Time-Varying Delay
Su, X.; Shi, P.; Wu, L.; Song, Y-.D.
Page(s): 1114 - 1129
11. Fuzzy c-Means Algorithms for Very Large Data
Havens, T. C.; Bezdek, J. C.; Leckie, C.; Hall, L. O.; Palaniswami, M.
Page(s): 1130 - 1146
12. TSK Fuzzy CMAC-Based Robust Adaptive Backstepping Control for Uncertain Nonlinear Systems
Lin, C.-M.; Li, H.-Y.
Page(s): 1147 - 1154
13. Uncertain Alternating Renewal Process and Its Application
Yao, K.; Li, X.
Page(s): 1154 - 1160
14. LMI Solution for Robust Static Output Feedback Control of Discrete Takagi–Sugeno Fuzzy Models
Chadli, M.; Guerra, T. M.
Page(s): 1160 - 1165
15. Relaxed Stabilization Criterion for T–S Fuzzy Systems by Minimum-Type Piecewise-Lyapunov-Function-Based Switching Fuzzy Controller
Chen, Y-.J.; Ohtake, H.; Tanaka, K.; Wang, W-.J.; Wang, H. O.
Page(s): 1166 - 1173
Tuesday, December 11, 2012
IEEE Transactions on Evolutionary Computation: Volume 16 Issue 6
1. The Technology of the Gaps: An Evolvable Hardware Synthesized Oscillator for the Control of a Flapping-Wing Micro Air Vehicle
Gallagher, J. C.; Doman, D. B.; Oppenheimer, M. W.
Page(s): 753 - 768
2. Continuous Dynamic Constrained Optimization—The Challenges
Nguyen, T. T.; Yao, X.
Page(s): 769 - 786
3. Hybrid Metaheuristics Based on Evolutionary Algorithms and Simulated Annealing: Taxonomy, Comparison, and Synergy Test
Rodriguez, F. J.; Garcia-Martinez, C.; Lozano, M.
Page(s): 787 - 800
4. An Efficient Resource Allocation Scheme Using Particle Swarm Optimization
Gong, Y.-J.; Zhang, J.; Chung, H. S.-H.; Chen, W.-N.; Zhan, Z.-H.; Li, Y.; Shi, Y.-H.
Page(s): 801 - 816
5. Evolving Boolean Networks on Tunable Fitness Landscapes
Bull, L.
Page(s): 817 - 828
6. Efficient Forest Data Structure for Evolutionary Algorithms Applied to Network Design
Delbem, A. C. B.; de Lima, T. W.; Telles, G. P.
Page(s): 829 - 846
7. An Artificial Immune System for Classification With Local Feature Selection
Dudek, G.
Page(s): 847 - 860
8. The Automatic Design of Multiobjective Ant Colony Optimization Algorithms
Lopez-Ibanez, M.; Stutzle, T.
Page(s): 861 - 875
Gallagher, J. C.; Doman, D. B.; Oppenheimer, M. W.
Page(s): 753 - 768
2. Continuous Dynamic Constrained Optimization—The Challenges
Nguyen, T. T.; Yao, X.
Page(s): 769 - 786
3. Hybrid Metaheuristics Based on Evolutionary Algorithms and Simulated Annealing: Taxonomy, Comparison, and Synergy Test
Rodriguez, F. J.; Garcia-Martinez, C.; Lozano, M.
Page(s): 787 - 800
4. An Efficient Resource Allocation Scheme Using Particle Swarm Optimization
Gong, Y.-J.; Zhang, J.; Chung, H. S.-H.; Chen, W.-N.; Zhan, Z.-H.; Li, Y.; Shi, Y.-H.
Page(s): 801 - 816
5. Evolving Boolean Networks on Tunable Fitness Landscapes
Bull, L.
Page(s): 817 - 828
6. Efficient Forest Data Structure for Evolutionary Algorithms Applied to Network Design
Delbem, A. C. B.; de Lima, T. W.; Telles, G. P.
Page(s): 829 - 846
7. An Artificial Immune System for Classification With Local Feature Selection
Dudek, G.
Page(s): 847 - 860
8. The Automatic Design of Multiobjective Ant Colony Optimization Algorithms
Lopez-Ibanez, M.; Stutzle, T.
Page(s): 861 - 875
Friday, December 7, 2012
Open source textbook - Chapter 6 outline
The outline of chapter 6 of the open-source textbook "Intelligent Information Systems" is now available online here. Chapter 6 is entitled "Fuzzy Inference and Defuzzification" and covers the basic principles of fuzzy inference and defuzzification of fuzzy values into crisp values.
Previous posts about other chapters are:
Chapter 1: Introduction to Intelligent Information Systems
Chapter 2: Simple and Linear Transformations
Chapter 3: Non-Linear Transformations, Fourier and Wavelet Transformations
Chapter 4: Crisp Rule Based Systems
Chaper 5: Fuzzy Sets and Fuzzification
Please make any comments in the comments section of this post, or email contactATmike.watts.net.nz.
Previous posts about other chapters are:
Chapter 1: Introduction to Intelligent Information Systems
Chapter 2: Simple and Linear Transformations
Chapter 3: Non-Linear Transformations, Fourier and Wavelet Transformations
Chapter 4: Crisp Rule Based Systems
Chaper 5: Fuzzy Sets and Fuzzification
Please make any comments in the comments section of this post, or email contactATmike.watts.net.nz.
Thursday, December 6, 2012
Reminder: conference paper deadline: KES-IDT 2013
A reminder that the deadline for submitting papers to the 5th International Conference on Intelligent Decision Technologies (KES-IDT) is 6 January 2013. This conference will be held in Sesimbra, Portugal, 26-28 June 2013.
Labels:
call for papers,
conferences,
reminder
Wednesday, December 5, 2012
Reminder: paper submission deadline for Fuzz-IEEE 2013
A reminder that the deadline for submitting papers to the IEEE Conference on Fuzzy Systems (Fuzz-IEEE) 2013 is 5 January, 2013. This conference will be held in Hyderabad, India, 7-10 July, 2013.
Labels:
call for papers,
conferences,
reminder
Tuesday, December 4, 2012
Neural Networks: Twenty-fifth Anniversay Commemorative Issue
1. Editorial Board
Pages: IFC
2. Neural networks
Pages: iv-ix
3. Neural networks referees in 2012
Pages: x-xii
4. Editorial
Pages: xiii-xiv
5. Adaptive Resonance Theory: How a brain learns to consciously attend, learn, and recognize a changing world
Pages: 1-47
Author: Stephen Grossberg
6. Dreaming of mathematical neuroscience for half a century
Pages: 48-51
Author: Shun-ichi Amari
7. Essentials of the self-organizing map
Pages: 52-65
Author: Teuvo Kohonen
8. Synthetic event-related potentials: A computational bridge between neurolinguistic models and experiments
Pages: 66-92
Authors: Victor Barrès, Arthur Simons, Michael Arbib
9. DISCOV (DImensionless Shunting COlor Vision): A neural model for spatial data analysis
Pages: 93-102
Authors: Gail A. Carpenter, Suhas E. Chelian
10. Artificial vision by multi-layered neural networks: Neocognitron and its advances
Pages: 103-119
Author: Kunihiko Fukushima
11. Outline of a general theory of behavior and brain coordination
Pages: 120-131
Authors: J.A. Scott Kelso, Guillaume Dumas, Emmanuelle Tognoli
12. Noise-enhanced clustering and competitive learning algorithms
Pages: 132-140
Authors: Osonde Osoba, Bart Kosko
13. A neural model of visual figure-ground segregation from kinetic occlusion
Pages: 141-164
Authors: Timothy Barnes, Ennio Mingolla
14. Neural associative memories and sparse coding
Pages: 165-171
Author: Günther Palm
15. Local circuit inhibition in the cerebral cortex as the source of gain control and untuned suppression
Pages: 172-181
Authors: Robert M. Shapley, Dajun Xing
16. The No-Prop algorithm: A new learning algorithm for multilayer neural networks
Pages: 182-188
Authors: Bernard Widrow, Aaron Greenblatt, Youngsik Kim, Dookun Park
Pages: IFC
2. Neural networks
Pages: iv-ix
3. Neural networks referees in 2012
Pages: x-xii
4. Editorial
Pages: xiii-xiv
5. Adaptive Resonance Theory: How a brain learns to consciously attend, learn, and recognize a changing world
Pages: 1-47
Author: Stephen Grossberg
6. Dreaming of mathematical neuroscience for half a century
Pages: 48-51
Author: Shun-ichi Amari
7. Essentials of the self-organizing map
Pages: 52-65
Author: Teuvo Kohonen
8. Synthetic event-related potentials: A computational bridge between neurolinguistic models and experiments
Pages: 66-92
Authors: Victor Barrès, Arthur Simons, Michael Arbib
9. DISCOV (DImensionless Shunting COlor Vision): A neural model for spatial data analysis
Pages: 93-102
Authors: Gail A. Carpenter, Suhas E. Chelian
10. Artificial vision by multi-layered neural networks: Neocognitron and its advances
Pages: 103-119
Author: Kunihiko Fukushima
11. Outline of a general theory of behavior and brain coordination
Pages: 120-131
Authors: J.A. Scott Kelso, Guillaume Dumas, Emmanuelle Tognoli
12. Noise-enhanced clustering and competitive learning algorithms
Pages: 132-140
Authors: Osonde Osoba, Bart Kosko
13. A neural model of visual figure-ground segregation from kinetic occlusion
Pages: 141-164
Authors: Timothy Barnes, Ennio Mingolla
14. Neural associative memories and sparse coding
Pages: 165-171
Author: Günther Palm
15. Local circuit inhibition in the cerebral cortex as the source of gain control and untuned suppression
Pages: 172-181
Authors: Robert M. Shapley, Dajun Xing
16. The No-Prop algorithm: A new learning algorithm for multilayer neural networks
Pages: 182-188
Authors: Bernard Widrow, Aaron Greenblatt, Youngsik Kim, Dookun Park
Labels:
journals,
neural networks
Monday, December 3, 2012
Reminder: paper submission deadline for IC-SI 2013
A reminder that the deadline for submitting papers to the Fourth International Conference on Swarm Intelligence (IC-SI) 2013 is January 1, 2013. This conference will be held in Harbin, China, June 12-15, 2013.
Labels:
call for papers,
conferences,
reminder
Thursday, November 29, 2012
Database of University Courses on Computational Intelligence
This post is on behalf of the IEEE Computational Intelligence Society's University Curricula Subcommittee.
The IEEE Computational Intelligence Society has a database on over 100 courses of various aspects computational intelligence taught at undergraduate and graduate levels all over the world. If you are interested in learning about the existing courses or intend to list your own course, which could be accessed by students and teachers please visit the CIS University Curriculum web site http://cis.ieee.org/university-curricula.html
The IEEE Computational Intelligence Society has a database on over 100 courses of various aspects computational intelligence taught at undergraduate and graduate levels all over the world. If you are interested in learning about the existing courses or intend to list your own course, which could be accessed by students and teachers please visit the CIS University Curriculum web site http://cis.ieee.org/university-curricula.html
Tuesday, November 27, 2012
What I've learned so far about management
I'm almost three months into my new position, a position that involves managing several lecturers. So, what have I learned about management so far?
An old Chinese proverb goes something like this:
If a king treats his ministers as his arms and legs, they will treat him as their heart and mind.
If a king treats his ministers as his cattle, they will treat him as a peasant.
If a king treats his ministers as grass and mud, they will treat him as an enemy.
I think that this applies just as much to managers as it does to rulers. So, with that in mind, here is what I have learned so far about managing people.
1) To manage others you must first manage yourself. You cannot manage other people's time and tasks if your own time is being taken up with tasks that you have allowed to accumulate. This also means that you need to control the tasks that come your way: if you need an hour of uninterrupted time to get several tasks done, then close your office door, put up a Do Not Disturb sign, and get them done. If you have too many tasks to do, then don't take on anything new until the task list is more manageable. If some members of your staff can do a particular task better than you, then delegate.
2) You have to be nice to the people you manage. If you are indifferent to them, or even bullying to them, you will fail. I actually knew this a long time ago, so I never even thought about trying this approach (also known as the Marquis de Sade school of scorched-earth management). Managers who try to manage through fear engender the hostility of their staff, and hostile staff love to see their manager fail. You must manage your own frustrations and anger (see point 1).
3) You have to be humble. An old saying goes something like "Humility means never getting a door slammed in your face... or ON your face". New Zealand culture is still quite egalitarian and particularly values humility. Arrogant managers will lose the support of their staff, and fail. Humble managers, managers who freely admit that they don't know something and defer to the staff who do, will win the support of their staff. You must admit it when you make a mistake. If mistakes are out in the open, then they can be fixed.
4) You must listen to your staff. Most of the time they know what they are talking about, and most of them will know how to do at least one thing better than you. Apart from the fact that listening is the nice, polite thing to do, it also lets you know who you can delegate particular tasks to.
5) You must lead from the front whenever you can. Anyone can tell others what to do, but if you want to be respected as a manager, you must show that you can do it too.
6) You must explain why you want someone to do something. If you are giving someone a task, then you must tell them why the task must be done, why you are giving it to them, and suggest how you think it could be done. If I tell my young daughter to do something "because I say so", she won't do it. If it doesn't work on a child, why would it work on an intelligent adult?
I'm sure I'll learn more about management as time goes by, and I'll share what I learn.
An old Chinese proverb goes something like this:
If a king treats his ministers as his arms and legs, they will treat him as their heart and mind.
If a king treats his ministers as his cattle, they will treat him as a peasant.
If a king treats his ministers as grass and mud, they will treat him as an enemy.
I think that this applies just as much to managers as it does to rulers. So, with that in mind, here is what I have learned so far about managing people.
1) To manage others you must first manage yourself. You cannot manage other people's time and tasks if your own time is being taken up with tasks that you have allowed to accumulate. This also means that you need to control the tasks that come your way: if you need an hour of uninterrupted time to get several tasks done, then close your office door, put up a Do Not Disturb sign, and get them done. If you have too many tasks to do, then don't take on anything new until the task list is more manageable. If some members of your staff can do a particular task better than you, then delegate.
2) You have to be nice to the people you manage. If you are indifferent to them, or even bullying to them, you will fail. I actually knew this a long time ago, so I never even thought about trying this approach (also known as the Marquis de Sade school of scorched-earth management). Managers who try to manage through fear engender the hostility of their staff, and hostile staff love to see their manager fail. You must manage your own frustrations and anger (see point 1).
3) You have to be humble. An old saying goes something like "Humility means never getting a door slammed in your face... or ON your face". New Zealand culture is still quite egalitarian and particularly values humility. Arrogant managers will lose the support of their staff, and fail. Humble managers, managers who freely admit that they don't know something and defer to the staff who do, will win the support of their staff. You must admit it when you make a mistake. If mistakes are out in the open, then they can be fixed.
4) You must listen to your staff. Most of the time they know what they are talking about, and most of them will know how to do at least one thing better than you. Apart from the fact that listening is the nice, polite thing to do, it also lets you know who you can delegate particular tasks to.
5) You must lead from the front whenever you can. Anyone can tell others what to do, but if you want to be respected as a manager, you must show that you can do it too.
6) You must explain why you want someone to do something. If you are giving someone a task, then you must tell them why the task must be done, why you are giving it to them, and suggest how you think it could be done. If I tell my young daughter to do something "because I say so", she won't do it. If it doesn't work on a child, why would it work on an intelligent adult?
I'm sure I'll learn more about management as time goes by, and I'll share what I learn.
Labels:
career management,
management
Monday, November 26, 2012
Paper submission deadline: ISNN 2013
The deadline for submitting papers to the International Symposium on Neural Networks (ISNN) 2013 is December 15, 2012. This symposium will be held in Dalian, China, July 4-6, 2013.
Labels:
call for papers,
conferences
Friday, November 23, 2012
IEEE Transactions on Neural Networks and Learning Systems: Volume 23, Issue 12, December 2012
1. Title: Unsupervised Learning by Minimal Entropy Encoding
Authors: Stefano Melacci; Marco Gori
Page(s): 1849 - 1861
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6316176
2. Title: Nonparametric Mixtures of Gaussian Processes With Power-Law Behavior
Authors: Sotirios P. Chatzis; Yiannis Demiris
Page(s): 1862 - 1871
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6320657
3. Title: Generalization Bounds of ERM-Based Learning Processes for Continuous-Time Markov Chains
Authors: Chao Zhang; Dacheng Tao
Page(s): 1872 - 1883
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6327676
4. Title: Neural Network Based Online Simultaneous Policy Update Algorithm for Solving the HJI Equation in Nonlinear $H_{infty}$ Control
Authors: Huai-Ning Wu; Biao Luo
Page(s): 1884 - 1895
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6329970
5. Title: Cost-Sensitive Sequences of Bregman Divergences
Authors: Raúl Santos-RodrÃguez; Jesús Cid-Sueiro
Page(s): 1896 - 1904
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6331548
6. Title: Noise-Tuning-Based Hysteretic Noisy Chaotic Neural Network for Broadcast Scheduling Problem in Wireless Multihop Networks
Authors: Ming Sun; Yaoqun Xu; Xuefeng Dai; Yuan Guo
Page(s): 1905 - 1918
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6332524
7. Title: Exponential Stabilization of Memristive Neural Networks With Time Delays
Authors: Ailong Wu; Zhigang Zeng
Page(s): 1919 - 1929
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6332525
8. Title: Descent Algorithms on Oblique Manifold for Source-Adaptive ICA Contrast
Authors: Suviseshamuthu Easter Selvan; Umberto Amato; Kyle A. Gallivan; Chunhong Qi;
Maria Francesca Carfora; Michele Larobina; Bruno Alfano
Page(s): 1930 - 1947
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6338339
9. Title: Sparse Approximation to the Eigensubspace for Discrimination
Authors: Zhihui Lai; Wai Keung Wong; Zhong Jin; Jian Yang; Yong Xu
Page(s): 1948 - 1960
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6338366
10. Title: Adaptive Subset Kernel Principal Component Analysis for Time-Varying Patterns
Authors: Yoshikazu Washizawa
Page(s): 1961 - 1973
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6338365
11. Title: Robust Single-Hidden Layer Feedforward Network-Based Pattern Classifier
Authors: Zhihong Man; Kevin Lee; Dianhui Wang; Zhenwei Cao; Suiyang Khoo
Page(s): 1974 - 1986
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6352923
12. Title: Compositional Generative Mapping for Tree-Structured Data—Part I: Bottom-Up Probabilistic Modeling of Trees
Authors: Davide Bacciu; Alessio Micheli; Alessandro Sperduti
Page(s): 1987 - 2002
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6353263
13. Title: Real AdaBoost With Gate Controlled Fusion
Authors: EfraÃn Mayhua-López; Vanessa Gómez-Verdejo; AnÃbal R. Figueiras-Vidal
Page(s): 2003 - 2009
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6352922
Authors: Stefano Melacci; Marco Gori
Page(s): 1849 - 1861
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6316176
2. Title: Nonparametric Mixtures of Gaussian Processes With Power-Law Behavior
Authors: Sotirios P. Chatzis; Yiannis Demiris
Page(s): 1862 - 1871
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6320657
3. Title: Generalization Bounds of ERM-Based Learning Processes for Continuous-Time Markov Chains
Authors: Chao Zhang; Dacheng Tao
Page(s): 1872 - 1883
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6327676
4. Title: Neural Network Based Online Simultaneous Policy Update Algorithm for Solving the HJI Equation in Nonlinear $H_{infty}$ Control
Authors: Huai-Ning Wu; Biao Luo
Page(s): 1884 - 1895
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6329970
5. Title: Cost-Sensitive Sequences of Bregman Divergences
Authors: Raúl Santos-RodrÃguez; Jesús Cid-Sueiro
Page(s): 1896 - 1904
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6331548
6. Title: Noise-Tuning-Based Hysteretic Noisy Chaotic Neural Network for Broadcast Scheduling Problem in Wireless Multihop Networks
Authors: Ming Sun; Yaoqun Xu; Xuefeng Dai; Yuan Guo
Page(s): 1905 - 1918
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6332524
7. Title: Exponential Stabilization of Memristive Neural Networks With Time Delays
Authors: Ailong Wu; Zhigang Zeng
Page(s): 1919 - 1929
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6332525
8. Title: Descent Algorithms on Oblique Manifold for Source-Adaptive ICA Contrast
Authors: Suviseshamuthu Easter Selvan; Umberto Amato; Kyle A. Gallivan; Chunhong Qi;
Maria Francesca Carfora; Michele Larobina; Bruno Alfano
Page(s): 1930 - 1947
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6338339
9. Title: Sparse Approximation to the Eigensubspace for Discrimination
Authors: Zhihui Lai; Wai Keung Wong; Zhong Jin; Jian Yang; Yong Xu
Page(s): 1948 - 1960
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6338366
10. Title: Adaptive Subset Kernel Principal Component Analysis for Time-Varying Patterns
Authors: Yoshikazu Washizawa
Page(s): 1961 - 1973
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6338365
11. Title: Robust Single-Hidden Layer Feedforward Network-Based Pattern Classifier
Authors: Zhihong Man; Kevin Lee; Dianhui Wang; Zhenwei Cao; Suiyang Khoo
Page(s): 1974 - 1986
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6352923
12. Title: Compositional Generative Mapping for Tree-Structured Data—Part I: Bottom-Up Probabilistic Modeling of Trees
Authors: Davide Bacciu; Alessio Micheli; Alessandro Sperduti
Page(s): 1987 - 2002
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6353263
13. Title: Real AdaBoost With Gate Controlled Fusion
Authors: EfraÃn Mayhua-López; Vanessa Gómez-Verdejo; AnÃbal R. Figueiras-Vidal
Page(s): 2003 - 2009
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6352922
Labels:
IEEE TNNLS,
journals
Thursday, November 22, 2012
Deadline extension: ICAISC 2013
The deadline for submitting papers to the International Conference on Artificial Intelligence and Soft Computing (ICAISC) 2013 has been extended to December 10, 2012. This conference will be held in Zakopane, Poland, June 9-13, 2013.
Labels:
call for papers,
conferences,
deadline extension
Tuesday, November 20, 2012
Open source textbook - Chapter 5 outline
The outline of chapter 5 of the open-source textbook "Intelligent Information Systems" is now available online here. Chapter 5 is entitled "Fuzzy Sets and Fuzzification" and covers the basic principles of fuzzy sets, fuzzy membership functions and fuzzification of crisp data.
Previous posts about other chapters are:
Chapter 1: Introduction to Intelligent Information Systems
Chapter 2: Simple and Linear Transformations
Chapter 3: Non-Linear Transformations, Fourier and Wavelet Transformations
Chapter 4: Crisp Rule Based Systems
Please make any comments in the comments section of this post, or email contactATmike.watts.net.nz.
Previous posts about other chapters are:
Chapter 1: Introduction to Intelligent Information Systems
Chapter 2: Simple and Linear Transformations
Chapter 3: Non-Linear Transformations, Fourier and Wavelet Transformations
Chapter 4: Crisp Rule Based Systems
Please make any comments in the comments section of this post, or email contactATmike.watts.net.nz.
Monday, November 19, 2012
Paper submission deadline: IJCCI 2013
The paper submission deadline for the 5th International Joint Conference on Computational Intelligence (IJCCI) 2013 is March 13, 2013. This conference will be held in Vilamoura, Portugal, 20-22 September, 2013. IJCCI is a combination of three computational intelligence conferences: The International Conference on Evolutionary Computation Theory and Applications (ECTA), the International Conference on Fuzzy Computation Theory and Application (FCTA), and the International Conference on Neural Theory and Applications (NCTA).
Labels:
call for papers,
conferences
Friday, November 16, 2012
Reminder: paper submission deadline for CEC 2013
A reminder that the deadline for submitting papers to the IEEE Congress on Evolutionary Computation (CEC) 2013 is February 15, 2013. This conference will be held in Cancun, Mexico, June 20-23, 2013.
Labels:
call for papers,
conferences,
reminder
Thursday, November 15, 2012
Conference paper deadline: ICDM 2013
The paper submission deadline for the 13th Industrial Conference on Data Mining (ICDM) 2013 is 18 December 2012. This conference will be held in New York, July 16-21, 2013.
Labels:
call for papers,
conferences
Wednesday, November 14, 2012
Paper submission deadline: MLDM 2013
The deadline for submitting papers to the International Conference on Machine Learning and Data Mining (MLDM) 2013 is 18 December 2012. This conference will be held in New York July 19-25, 2013.
Labels:
call for papers,
conferences
Tuesday, November 13, 2012
Paper submission deadline: IJCAI 2013
The paper submission deadline for the 23rd International Joint Conference on Artificial Intelligence (IJCAI) 2013 is January 31, 2013. This conference will be held in Beijing, China, August 3-9, 2013.
Labels:
call for papers,
conferences
Monday, November 12, 2012
Conference paper submission deadline: ICONS 2013
The deadline for submitting papers to the 3rd International Conference on Intelligent Control and Automation Science (ICONS) 2013 is 15 March, 2013. This conference will be held in Chengdu, China, 2-4 September, 2013.
Labels:
call for papers,
conferences
Friday, November 9, 2012
Conference paper deadline: ICIC 2013
The paper submission deadline for the 2013 International Conference on Intelligent Computing (ICIC) is February 15, 2013. This conference will be held in Nanning, China, July 28-31, 2013.
Labels:
call for papers,
conferences
Thursday, November 8, 2012
Conference paper deadline: BICS 2013
The deadline for submitting papers to the 2013 International Conference on Brain-Inspired Cognitive Systems (BICS) is February 1, 2013. This conference will be held in Beijing, China, June 9-11, 2013.
Labels:
call for papers,
conferences
Wednesday, November 7, 2012
Conference paper deadline: ICICIP 2013
The deadline for submitting papers to the Fourth International Conference on Intelligent Control and Information Processing (ICICIP) 2013 is February 1, 2013. This conference will be held in Beijing, China, June 9-11, 2013.
Labels:
call for papers,
conferences
Tuesday, November 6, 2012
Conference paper deadline: IC-SI 2013
The deadline for submitting papers to the Fourth International Conference on Swarm Intelligence (IC-SI) 2013 is January 1, 2013. This conference will be held in Harbin, China, June 12-15, 2013.
Labels:
call for papers,
conferences
Monday, November 5, 2012
Conference paper deadline: ESANN 2013
The deadline for submitting papers to the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) 2013 is 30 November, 2012. This symposium will be helf in Bruges, Belgium, 24-26 April, 2013.
Labels:
call for papers,
conferences
Friday, November 2, 2012
Guest posts and conference reports
There are a lot of posts on this blog about conference deadlines - mostly calls for papers. I would like to post more reports on these conferences, similar to this one. Since I don't make it to a lot of conferences these days, this is an open invitation to the readers of this blog: if you attend a conference on computational intelligence, and would like to write a guest post about it, please contact me via contactATmike.watts.net.nz
If you would like to write a guest post on another topic related to computational intelligence, please contact me and let me know what you would like to write about.
If you would like to write a guest post on another topic related to computational intelligence, please contact me and let me know what you would like to write about.
Labels:
conferences,
dear Internet,
guest post
Thursday, November 1, 2012
Reminder: paper submission deadline for IJCNN 2013
A reminder that the deadline for submitting papers to the IEEE International Joint Conference on Neural Networks (IJCNN) 2013 is February 1, 2013. This conference will be held in Dallas, Texas, August 4-9, 2013.
Labels:
call for papers,
conferences,
papers
Wednesday, October 31, 2012
Conference paper deadline: KES 2013
The deadline for submitting papers to the 17th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES) 2013 is 1st March, 2013. This conference will be held in Kitakyushu, Japan, September 9-12, 2013.
Labels:
call for papers,
conferences
Tuesday, October 30, 2012
Open source textbook - Chapter 4 outline
The outline of chapter 4 of the open-source textbook "Intelligent Information Systems" is now available online here. Chapter 4 is entitled "Crisp Rule Based Systems" and covers rule based production systems.
Previous posts about other chapters are:
Chapter 1: Introduction to Intelligent Information Systems
Chapter 2: Simple and Linear Transformations
Chapter 3: Non-Linear Transformations, Fourier and Wavelet Transformations
Please make any comments in the comments section of this post, or email contactATmike.watts.net.nz.
Previous posts about other chapters are:
Chapter 1: Introduction to Intelligent Information Systems
Chapter 2: Simple and Linear Transformations
Chapter 3: Non-Linear Transformations, Fourier and Wavelet Transformations
Please make any comments in the comments section of this post, or email contactATmike.watts.net.nz.
Subscribe to:
Posts (Atom)