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
Tuesday, December 4, 2012
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.
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.
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.
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-Rodríguez; 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: Efraín Mayhua-López; Vanessa Gómez-Verdejo; Aníbal 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-Rodríguez; 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: Efraín Mayhua-López; Vanessa Gómez-Verdejo; Aníbal R. Figueiras-Vidal
Page(s): 2003 - 2009
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6352922
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.
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).
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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