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.

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

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: María 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

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.

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.

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.

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; Aníbal 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

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.

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.

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.

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.

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.

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

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

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.

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.

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.

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

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.

Database of University Courses on Computational Intelligence

This post is on behalf of the IEEE Computational Intelligence Society's University Curricula Subcommittee.

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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

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.

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.

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

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.

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.

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).

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

IEEE Transactions on Neural Networks and Learning Systems: Volume 23, Issue 11, November 2012

1. Decirculation Process in Neural Network Dynamics
Authors: Mau-Hsiang Shih; Feng-Sheng Tsai
Page(s): 1677 - 1689
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6287597

2. Robust Support Vector Regression for Uncertain Input and Output Data
Authors: Gao Huang; Shiji Song; Cheng Wu; Keyou You
Page(s): 1690 - 1700
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6287596

3. Neural-Fitted TD-Leaf Learning for Playing Othello With Structured Neural
Networks
Authors: Sjoerd van den Dries; Marco A. Wiering
Page(s): 1701 - 1713
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6291798

4. Global Tracking Control of Strict-Feedback Systems Using Neural Networks
Authors: Jeng-Tze Huang
Page(s): 1714 - 1725
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6295670

5. Unsupervised Learning of Categorical Data With Competing Models
Authors: Roman Ilin
Page(s): 1726 - 1737
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6298015

6. Discriminative Least Squares Regression for Multiclass Classification and
Feature Selection
Authors: Shiming Xiang; Feiping Nie; Gaofeng Meng; Chunhong Pan; Changshui Zhang
Page(s): 1738 - 1754
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6298965

7. Decentralized Asynchronous Learning in Cellular Neural Networks
Authors: Bipul Luitel; Ganesh Kumar Venayagamoorthy
Page(s): 1755 - 1766
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6313917

8. Boosted Network Classifiers for Local Feature Selection
Authors: Timothy Hancock; Hiroshi Mamitsuka
Page(s): 1767 - 1778
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6316175

9. Semisupervised Classification With Cluster Regularization
Authors: Rodrigo G. F. Soares; Huanhuan Chen; Xin Yao
Page(s): 1779 - 1792
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6317193

10. Latent Feature Kernels for Link Prediction on Sparse Graphs
Authors: Canh Hao Nguyen; Hiroshi Mamitsuka
Page(s): 1793 - 1804
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6317192

11. Innovative Second-Generation Wavelets Construction With Recurrent Neural
Networks for Solar Radiation Forecasting
Authors: Giacomo Capizzi; Christian Napoli; Francesco Bonanno
Page(s): 1805 - 1815
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6320656

12. Multistability of Neural Networks With Mexican-Hat-Type Activation Functions
Authors: Lili Wang; Tianping Chen
Page(s): 1816 - 1826
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6320658

13. Convergence Analyses on On-Line Weight Noise Injection-Based Training
Algorithms for MLPs
Authors: John Sum; Chi-Sing Leung; Kevin Ho
Page(s): 1827 - 1840
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6324446

14. Time Series Modeling and Forecasting Using Memetic Algorithms for
Regime-Switching Models
Authors: Christoph Bergmeir; Isaac Triguero; Daniel Molina; José Luis Aznarte; José
Manuel Benítez
Page(s): 1841 - 1847

Open source textbook - Chapter 3 outline

The outline of Chapter 3 of the open-source textbook "Intelligent Information Systems" is now available online. Chapter 3 is entitled "Non-Linear Transformations, Fourier and Wavelet Transformation" . My previous post about the outline of Chapter 1, "Introduction to Intelligent Information Systems", is here while the post about Chapter 2, "Simple and Linear Transformations", is here.

If you have any comments or suggestions about this chapter outline, please make them in the comments on this blog, or email me at contactATmike.watts.net.nz.

Reminder: paper submission deadline for ICAISC 2013

A reminder that the deadline for submitting papers to the International Conference on Artificial Intelligence and Soft Computing (ICAISC) 2013 is November 20, 2012. This conference will be held in Zakopane, Poland, June 9-13, 2013.

IEEE Transactions on Evolutionary Computation: Volume 16, Issue 5, 2012

1. Differential Evolution With Neighborhood Mutation for Multimodal Optimization
Qu, B. Y.; Suganthan, P. N.; Liang, J. J.
Page(s): 601 - 614
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151116

2. Progressive Alignment Method Using Genetic Algorithm for Multiple Sequence Alignment
Naznin, F.; Sarker, R.; Essam, D.
Page(s): 615 - 631
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151111

3. Approximating the Genetic Diversity of Populations in the Quasi-Equilibrium State
Arabas, J.
Page(s): 632 - 644
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151093

4. A Filter Approach to Multiple Feature Construction for Symbolic Learning Classifiers Using Genetic Programming
Neshatian, K.; Zhang, M.; Andreae, P.
Page(s): 645 - 661
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151112

5. Multiobjective Evolutionary Algorithms in Aeronautical and Aerospace Engineering
Arias-Montano, A.; Coello, C. A. C.; Mezura-Montes, E.
Page(s): 662 - 694
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151094

6. Review and Study of Genotypic Diversity Measures for Real-Coded Representations
Corriveau, G.; Guilbault, R.; Tahan, A.; Sabourin, R.
Page(s): 695 - 710
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151099

7. Evolution of Plastic Learning in Spiking Networks via Memristive Connections
Howard, G.; Gale, E.; Bull, L.; de Lacy Costello, B.; Adamatzky, A.
Page(s): 711 - 729
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151103

8. Memetic Algorithms for De Novo Motif Discovery
Chan, T.-M.; Leung, K.-S.; Lee, K.-H.
Page(s): 730 - 748
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151097

9. Genetic Algorithms for Discovery of Matrix Multiplication Methods
Joo, A.; Ekart, A.; Neirotti, J. P.
Page(s): 749 - 751
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151102

10. Erratum to “On the Design of Constraint Covariance Matrix Self-Adaptation Evolution Strategies Including a Cardinality Constraint” [Aug 12 578-596]
Beyer, H.-G.; Finck, S.
Page(s): 752
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6314484

IEEE Transactions on Fuzzy Systems: Volume 20, Issue 5, 2012

1. Monotone Centroid Flow Algorithm for Type Reduction of General Type-2 Fuzzy Sets
Linda, O.; Manic, M.
Page(s): 805 - 819
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6135785

2. Control Design of Uncertain Quantum Systems With Fuzzy Estimators
Chen, C.; Dong, D.; Lam, J.; Chu, J.; Tarn, T-.J.
Page(s): 820 - 831
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6145644

3. On the Fundamental Differences Between Interval Type-2 and Type-1 Fuzzy Logic Controllers
Wu, D.
Page(s): 832 - 848
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6145645

4. Adaptive Local Fusion With Fuzzy Integrals
Abdallah, A. C. B.; Frigui, H.; Gader, P.
Page(s): 849 - 864
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6146419

5. Fuzzy-Based Self-Interactive Multiobjective Evolution Optimization for Reverse Engineering of Biological Networks
Wu, S.-J.; Wu, C.-T.; Chang, J.-Y.
Page(s): 865 - 882
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6148274

6. General Type-2 Fuzzy C-Means Algorithm for Uncertain Fuzzy Clustering
Linda, O.; Manic, M.
Page(s): 883 - 897
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6157608

7. An Efficient Configuration for Probabilistic Fuzzy Logic System
Zhang, G.; Li, H.-X.
Page(s): 898 - 909
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6151823

8. Fuzzy Discrete Event Systems for Multiobjective Control: Framework and Application to Mobile Robot Navigation
Schmidt, K. W.; Boutalis, Y. S.
Page(s): 910 - 922
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6159076

9. Intuitionistic Fuzzy Information Aggregation Using Einstein Operations
Wang, W.; Liu, X.
Page(s): 923 - 938
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6159077

10. Enhanced Centroid-Flow Algorithm for Computing the Centroid of General Type-2 Fuzzy Sets
Zhai, D.; Mendel, J. M.
Page(s): 939 - 956
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6165348

11. Robust Filter for Nonlinear Stochastic Partial Differential Systems in Sensor Signal Processing: Fuzzy Approach
Chen, B.-S.; Chen, W.-H.; Zhang, W.
Page(s): 957 - 970
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6166877

12. Three-Degree-of-Freedom Dynamic Model-Based Intelligent Nonsingular Terminal Sliding Mode Control for a Gantry Position Stage
Lin, F.-J.; Chou, P.-H.; Chen, C.-S.; Lin, Y.-S.
Page(s): 971 - 985
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6172224

13. Programming-Based OWA Operator Weights With Quadratic Objective Function
Ahn, B. S.
Page(s): 986 - 992
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6220246

14. Comments on “Chaos Synchronization of Uncertain Fractional-Order Chaotic Systems With Time Delay Based on Adaptive Fuzzy Sliding Mode Control”
Tavazoei, M. S.
Page(s): 993 - 995
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6156435

15. Comment on “Toward General Type-2 Fuzzy Logic Systems Based on zSlices”
Zhai, D.; Mendel, J. M.
Page(s): 996 - 997
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6165347

Results of IEEE CIS Facebook Photo Competition

This is cross-posted from the IEEE Computational Intelligence Society's blog.

---

The Facebook photo competition closed on the 30th of September. The winners, as judged by the number of "likes" each photo received, are as follows:

In first place, and winner of an iPad, is Ryan Rhay Vicerra, of the Philipines, with 1452 Likes. Ryan also wins free membership to the CIS for 2013.

In second and third place, and winning free CIS membership for 2013, are  Kanny Krizzy David, from the Philippines, with 1219 Likes, and Wissam Audah from the UK, with 489 Likes.

Congratulations to the winners! And our thanks to everyone who entered and who voted for the photos, all of whom made the competition such a great success.

Open source textbook - Chapter 2 outline

The outline of Chapter 2 of the open-source textbook "Intelligent Information Systems" is now available online. Chapter 2 is entitled "Simple and Linear Transformations" and is intended to be a brief overview of some of the data processing techniques that can be used to prepare data before it is modeled with computational intelligence techniques. My previous post about the outline of Chapter 1, "Introduction to Intelligent Information Systems", is here.

As always, you comments and suggestions are requested and valued.

Conference paper deadline: KES IIMSS 2013

The deadline for submitting papers to the 6th International Conference on Intelligent Interactive Multimedia Systems and Services (IIMSS) 2013 is 6 January 2013. This conference will be held in Sesimbra, Portugal, 26 - 28 June, 2013.

Open source textbook - Chapter 1 outline

Following on from my post last week about the updated outline for my open-source textbook "Intelligent Information Systems", I've made the outline of Chapter 1 "Introduction to Intelligent Information Systems" available online.

As always, comments and suggestions are most welcome!

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.

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.

Important dates for IJCNN 2013

Some important dates for the International Joint Conference on Neural Networks (IJCNN) 2013. The following are all due by December 15, 2012:

• Tutorials proposals
• Workshop proposals
• Panel proposals
• Special sessions proposals

For more information, see the IJCNN website: www.ijcnn2013.org.

An experiment in open-source textbooks 2

In an earlier post, I described how I'm working on an open source textbook about Intelligent Information Systems.

While progress has been slower than I would have liked (mainly due to my relocating permanently to my native New Zealand), I have been able to digest the suggestions made in the comments on my previous post. As a result, I've made the second outline of this textbook available here.

I've also investigated several different licensing schemes, and it looks like I'll be going with one of the Creative Commons licenses. I'm looking at making the LaTeX source and PDF files freely available online, while retaining the print rights.

Any comments on the outline, or my licensing plan, will be gratefully received!

Reminder: paper submission deadline for EvoStar 2013

A reminder that the paper submission deadline for EvoStar 2013 is 1 November, 2012. This conference will be held in Vienna, Austria, 3-5 April, 2013.

The Problem with Academic Journals 7

The following quote was in an email I received from the editor of a certain prestigious general science journal:

"Your manuscript is now undergoing an initial screening to determine whether it will be sent for in-depth review. We will notify the corresponding author of our decision as soon as possible."

That really annoyed me. It annoyed me because it is not the job of the editor to screen submissions. Sure, it is appropriate for them to check that the paper is formatted correctly, that there aren't big sections of it missing, and that it fits the theme of the journal (which is not the case with general science journals like the journal this paper was submitted to). The kind of screening this editor is talking about it a kind of pre-peer review, where the editor is determining whether the paper is worthy of being considered by their august publication. It is, in fact, a rather extreme form of academic arrogance.

Having a paper rejected by peer review is one thing, but being rejected because one person doesn't think it's worthy enough? So many of my colleagues have had so many perfectly good papers rejected by editors without going to peer review. The purpose of peer review is to find errors in the science (and have no doubt about it, computational intelligence is a science). If there are no errors in the science - that is, there are no discernible errors in methodology or interpretation of results - then the paper should be published. Even a rejection is useful, as it allows the authors to improve their research. But editorial rejections eliminate even that, they make the entire process of submitting to that journal a waste of time.

As I've said many times before, the solution is to go to open access journals. Peer review will help catch the errors, and the people reading the papers (and there will be a lot more of them reading open access papers than subscription-only papers) will find the errors the peer reviewers missed. But arrogant editors from expensive subscription-only journals will soon find themselves presiding over a shrinking author base.

IEEE Transactions on Autonomous Mental Development: Volume 4, Issue 3, 2012

1. Editorial: Impact Factor and Outstanding Paper Awards
Zhang, Z.
Page(s): 189
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6298016

2. Guest Editorial: Biologically Inspired Human–Robot Interactions—Developing More Natural Ways to Communicate with our Machines
Harris, C.; Krichmar, L.; Siegelmann, T.; Wagatsuma, H
Page(s): 190 - 191
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6298018

3. Long Summer Days: Grounded Learning of Words for the Uneven Cycles of Real World Events
Heath, S.; Schulz, R.; Ball, D.; Wiles, J.
Page(s): 192 - 203
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6236014

4. Learning Through Imitation: a Biological Approach to Robotics
Chersi, F.
Page(s): 204 - 214
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6203559

5. Context-Based Bayesian Intent Recognition
Kelley, R.; Tavakkoli, A.; King, C.; Ambardekar, A.; Nicolescu, M.; Nicolescu, M.
Page(s): 215 - 225
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6276240

6. Reciprocity and Retaliation in Social Games With Adaptive Agents
Asher, D. E.; Zaldivar, A.; Barton, B.; Brewer, A. A.; Krichmar, J. L.
Page(s): 226 - 238
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6212318

7. Towards a Platform-Independent Cooperative Human Robot Interaction System: III An Architecture for Learning and Executing Actions and Shared Plans
Lallee, S.; Pattacini, U.; Lemaignan, S.; Lenz, A.; Melhuish, C.; Natale, L.; Skachek, S.; Hamann, K.; Steinwender, J.; Sisbot, E. A.; Metta, G.; Guitton, J.; Alami, R.; Warnier, M.; Pipe, T.; Warneken, F.; Dominey, P. F.
Page(s): 239 - 253
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6204326

IEEE Transactions on Computational Intelligence and AI in Games: Volume 4, Issue 3, 2012

1. Guest Editorial: Special Issue on Computational Aesthetics in Games
Browne, C.; Yannakakis, G. N.; Colton, S.
Page(s): 149 - 151
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6299016

2. Unsupervised Modeling of Player Style With LDA
Gow, J.; Baumgarten, R.; Cairns, P.; Colton, S.; Miller, P.
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6269992

3. Beyond Skill Rating: Advanced Matchmaking in Ghost Recon Online
Delalleau, O.; Contal, E.; Thibodeau-Laufer, E.; Ferrari, R. C.; Bengio, Y.; Zhang, F.
Page(s): 167 - 177
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6156756

4. Evaluating the Aesthetics of Endgame Studies: A Computational Model of Human Aesthetic Perception
Iqbal, A.; van der Heijden, H.; Guid, M.; Makhmali, A.
Page(s): 178 - 191
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6177652

5. Experience-Driven Procedural Music Generation for Games
Plans, D.; Morelli, D.
Page(s): 192 - 198
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6266725

6. Continuous Recognition of Player's Affective Body Expression as Dynamic Quality of Aesthetic Experience
Savva, N.; Scarinzi, A.; Bianchi-Berthouze, N.
Page(s): 199 - 212
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6212341

7. Adapting Models of Visual Aesthetics for Personalized Content Creation
Liapis, A.; Yannakakis, G. N.; Togelius, J.
Page(s): 213 - 228
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6185648

8. Elegance in Game Design
Browne, C.
Page(s): 229 - 240
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6194295

Reminder: paper submission deadline for ICAISC 2013

A reminder that the deadline for submitting papers to the International Conference on Artificial Intelligence and Soft Computing (ICAISC) 2013 is November 20, 2012. This conference will be held in Zakopane, Poland, June 9-13, 2013.

On Being a Post-doc

After completing a PhD, most people who wish to stay in academia end up doing one or more post-doctoral positions. Experience as a post-doc is a prerequisite for a career in scientific research, as it is during your post-doc career that you get exposure to ideas and techniques outside of your PhD, and work with a wider range of people than you did during your PhD. The chances of going into a permanent academic position, without doing at least one post-doc, are very slim (most people who manage to do this tend to wind up in the same department they did their PhD in). I've done three post-docs, at Lincoln University in New Zealand, at the University of Sydney, and the University of Adelaide, both of which are in Australia.

So, what's it like being a post-doctoral fellow?

Basically, it sucks. Most post-docs are for two or three years. This term is fixed as the position is usually tied to a particular research grant, which is itself of fixed duration. This means that even if you do extremely well in your research, there is no guarantee of further employment after the contract ends. This means that as a post-doc, you will probably be changing jobs and cities every two years. If you're young and single, that's not entirely a bad thing: travelling and living in different places broadens your mind, can build a wide network of friendships and helps you appreciate different ways of life. Things get harder if you are a couple, as your partner also needs to find work in your new home. If you have even one child, it's a nightmare: you need to find a new school, your child faces the awful wrench of leaving their friends behind, if they're in after-school activities they need to be organised all over again, and if they have even minor health issues, finding adequate care for them can be very challenging. The stress that this can place on your relationship is enormous. In short, being a post-doc is a young (single) person's game.

If your post-doc is tied to a grant, then you will be working on someone else's project. In other words, you'll be working on something that is interesting to someone else (the grant holder). This also means that the outputs you produce (that is, papers) will be of benefit primarily to the grant holder rather than you.

While you should concentrate on doing the work you are paid to do, if you want to move up the academic ladder, then you also need to demonstrate the ability to do independent research. So, in addition to working a full-time job, you're also working part-time on your own research programme.

On top of the above are the dangers of any workplace: while most post-doc supervisors are good and kind people, they get their positions by being good researchers (or occasionally good politicians), not good managers. In the worst case, you might end up working for a narcissistic sociopath. Doing a post-doc with the wrong supervisor (or supervisors) can make your life a living hell. Sociopaths can be pretty hard to spot, too.

My experience is that it can take six months or more to find a new position, which means that shortly after starting a post-doc, you need to start looking for another. If your career is a chess game, then you need to start getting your pieces into place sooner rather than later.

To sum up, being a post-doctoral fellow means a semi-itinerant life of uncertainty and upheaval, serving the research needs of others, while also planning a future career that might not happen.

Was it all worth it for me? While there are many things I would do differently if I had the chance to do it all again, I don't want to live my life in regret: the things in my life, the good and the bad, the joy and the hurt, have all made me the person I am. But I do regret the hurt it has caused my family. Being a post-doc is hard on everyone if you have a family. It's not all bad news, though, and in a future post I'll be discussing ways in which you can make your post-doc career successful.

IEEE Transactions on Neural Networks and Learning Systems: Volume 23, Issue 10, October 2012

1. Title: Silicon-Based Dynamic Synapse With Depressing Response
Authors: Thomas Dowrick; Steve Hall; Liam J. McDaid
Page(s): 1513 - 1525
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6287129


2. Title: Self-Organizing Spiking Neural Model for Learning Fault-Tolerant Spatio-Motor Transformations
Authors: Narayan Srinivasa; Youngkwan Cho
Page(s): 1526 - 1538
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248739


3. Title: Learning From ISS-Modular Adaptive NN Control of Nonlinear Strict-Feedback Systems
Authors: Cong Wang; Min Wang; Tengfei Liu; David. J. Hill
Page(s): 1539 - 1550
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248726


4. Title: Synchronization Error Estimation and Controller Design for Delayed Lur'e Systems With Parameter Mismatches
Authors: Wangli He; Feng Qian; Qing-Long Han; Jinde Cao
Page(s): 1551 - 1563
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6248725&tag=1


5. Title: Reproducing Kernel Hilbert Spaces With Odd Kernels in Price Prediction
Authors: Miloš Krejník; Anton Tyutin
Page(s): 1564 - 1573
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6253266


6. Title: Neural Modeling of Episodic Memory: Encoding, Retrieval, and Forgetting
Authors: Wenwen Wang; Budhitama Subagdja; Ah-Hwee Tan; Janusz A. Starzyk
Page(s): 1574 - 1586
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6261552


7. Title: A Discrimination Analysis for Unsupervised Feature Selection via Optic Diffraction Principle
Authors: Praisan Padungweang; Chidchanok Lursinsap; Khamron Sunat
Page(s): 1587 - 1600
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6263306


8. Title: Nonnegative Blind Source Separation by Sparse Component Analysis Based on Determinant Measure
Authors: Zuyuan Yang; Yong Xiang; Shengli Xie; Shuxue Ding; Yue Rong
Page(s): 1601 - 1610
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6263307


9. Title: Multiclass Feature Selection With Kernel Gram-Matrix-Based Criteria
Authors: Mathieu Ramona; Gaël Richard; Bertrand David
Page(s): 1611 - 1623
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6264104


10. Title: Efficient Online Subspace Learning With an Indefinite Kernel for Visual Tracking and Recognition
Authors: Stephan Liwicki; Stefanos Zafeiriou; Georgios Tzimiropoulos; Maja Pantic
Page(s): 1624 - 1636
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6269106


11. Title: Feedback Control by Online Learning an Inverse Model
Authors: Tim Waegeman; Francis wyffels; Benjamin Schrauwen
Page(s): 1637 - 1648
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6269107


12. Title: Symbolic Representation of Recurrent Neural Network Dynamics
Authors: Thuan Q. Huynh; James A. Reggia
Page(s): 1649 - 1658
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6269105


13. Title: Inphase and Antiphase Synchronization in a Delay-Coupled System With Applications to a Delay-Coupled FitzHugh–Nagumo System
Authors: Yongli Song; Jian Xu
Page(s): 1659 - 1670
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6269931


14. Title: Simple and Fast Calculation of the Second-Order Gradients for Globalized Dual Heuristic Dynamic Programming in Neural Networks
Authors: Michael Fairbank; Eduardo Alonso; Danil Prokhorov
Page(s): 1671 - 1676
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6239600

Reminder: paper submission deadline for IEEE-SSCI 2013

A reminder that the deadline for the IEEE Symposium Series in Computational Intelligence 2013 is 10 October 2012. This series of symposia will be held in Singapore 16-19 April 2013.

Reminder: paper submission deadline for ICANNGA 2013

A reminder that the paper submission deadline for the International Conference on Adaptive and Natural Computing Algorithms (ICANNGA) 2013 is 8 October, 2013. This conference will be held in Lausanne, Switzerland, April 4-6, 2013.

Deadline Extension - IEEE CIS Facebook Photo Contest

This is cross-posted from the IEEE Computational Intelligence Society blog.

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Due to many requests, we have decided to extend the deadline of the Facebook Photo Contest to September 30, 2012.

There will be three winners, each of them will get a free CIS membership for 2013. The best out of the three winners will get a FREE IPAD2. More information can be found at http://www.tinyurl.com/cisfb2012. If you have any questions, please send a email to cis.socialmedia@gmail.com.  

Guest post: Write Right First Time with Brown's Eight Questions

This is a guest post by Stephen G. Matthews. Stephen is a PhD student in the Centre for Computational Intelligence at De Montfort University, UK.

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Write Right First Time with Brown's Eight Questions

I will share a method that I have found to be really useful. It's short, simple and incredibly effective: Brown's Eight Questions.

Robert Brown introduced Brown's Eight Questions (Brown, 1994/95) as part of an action learning set for improving writing. An action learning set is a group of people (ideally 5) who meet up to discuss common problems and solutions. Brown suggests applying this to writing for publication. An action learning set meets up and each member reviews each other's manuscripts face to face. I will focus on Brown's Eight Questions, but an action learning set for writing is well worth reading about in Brown's article.

So what is Brown's Eight Questions? Well, it is a set of eight questions designed to make an author think about writing before actually writing a first draft. Brown's idea, which was motivated by his experiences as a writer, reviewer and editor, comes from his observation that writers often focus on correcting a manuscript once it is written, rather than planning the manuscript before writing.

Brown’s Eight Questions

1. Who are the intended readers? - list 3 to 5 of them by name;
2. What did you do? (limit - 50 words)
3. Why did you do it? (limit - 50 words)
4. What happened? (limit - 50 words)
5. What do the results mean in theory? (limit - 50 words)
6. What do the results mean in practice? (limit - 50 words)
7. What is the key benefit for your readers? (limit - 25 words)
8. What remains unresolved? (no word limit)

As you can see these are simple questions and the word limit ensures answers are succinct. Brown's Eight Questions can help authors to gain clarity about their manuscript and also support the reader's understanding.

Brown's Eight Questions helps me to structure my thoughts, arguments and the message of a manuscript. It really is a useful method that can be applied to any form of writing such as journal articles, theses and reports. If you have not used it then give it a go!

Brown, Robert (1994/95) “Write Right First Time”, Literati Newsline Special Issue: 1-8. (Available from http://web.archive.org/web/19971014014626/http://www.mcb.co.uk/literati/write.htm)

Evolving Systems Volume 3 Issue 3

1. A dynamic split-and-merge approach for evolving cluster models
Edwin Lughofer
http://springer.r.delivery.net/r/r?2.1.Ee.2Tp.1jfPPN.C3agc4..H.WsNM.3vVy.bW89MQ%5f%5fDGVOFSD0

2. Online variational learning of finite Dirichlet mixture models
Wentao Fan and Nizar Bouguila
http://springer.r.delivery.net/r/r?2.1.Ee.2Tp.1jfPPN.C3agc4..H.WsNS.3vVy.bW89MQ%5f%5fDHJKFSJ0

3. Adaptive complex event processing for harmful situation detection
Jean-René Coffi, Christophe Marsala and Nicolas Museux
http://springer.r.delivery.net/r/r?2.1.Ee.2Tp.1jfPPN.C3agc4..H.WsNY.3vVy.bW89MQ%5f%5fDHdGFSP0

4. Sliding mode incremental learning algorithm for interval type-2 Takagi–Sugeno–Kang fuzzy neural networks
Sevil Ahmed, Nikola Shakev, Andon Topalov, Kostadin Shiev and Okyay Kaynak
http://springer.r.delivery.net/r/r?2.1.Ee.2Tp.1jfPPN.C3agc4..H.WsNe.3vVy.bW89MQ%5f%5fDJEeFSb0

5. Negotiating in dynamic environments: time-efficient automated negotiations by means of combinatorial auctions
Fabian Lang and Andreas Fink
http://springer.r.delivery.net/r/r?2.1.Ee.2Tp.1jfPPN.C3agc4..H.WsNk.3vVy.bW89MQ%5f%5fDJYaFTB0

Posting Hiatus

Next week my family and I will be moving away from Adelaide and leaving Australia permanently. We are moving so that I can take up a new, permanent, academic position. Since this move will involve a fair amount of chaos and interrupted Internet access (at least until we find a house and get the Internet connected again), posting to this blog will be quite sporadic.

IEEE Transactions on Neural Networks and Learning Systems: Volume 23, Issue 9, September 2012

1. Adaptive Pinning Control of Deteriorated Nonlinear Coupling Networks With Circuit Realization
Xiao-Zheng Jin; Guang-Hong Yang; Wei-Wei Che
Page(s): 1345 - 1355
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6222060

2. Approximate Solutions to Ordinary Differential Equations Using Least Squares Support Vector Machines
Siamak Mehrkanoon; Tillmann Falck; Johan A. K. Suykens
Page(s): 1356 - 1367
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6224185

3. Exponential Synchronization of Neural Networks With Discrete and Distributed Delays Under Time-Varying Sampling
Zheng-Guang Wu; Peng Shi; Hongye Su; Jian Chu
Page(s): 1368 - 1376
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6227362

4. Convergence and Rate Analysis of Neural Networks for Sparse Approximation
Aurèle Balavoine; Justin Romberg; Christopher J. Rozell
Page(s): 1377 - 1389
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6227360

5. In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector Machines
Davide Anguita; Alessandro Ghio; Luca Oneto; Sandro Ridella
Page(s): 1390 - 1406
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6228541

6. Robust Exponential Stability of Uncertain Stochastic Neural Networks With Distributed Delays and Reaction-Diffusions
Jianping Zhou; Shengyuan Xu; Baoyong Zhang; Yun Zou; Hao Shen
Page(s): 1407 - 1416
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6228542

7. Online Kernel-Based Learning for Task-Space Tracking Robot Control
Duy Nguyen-Tuong; Jan Peters
Page(s): 1417 - 1425
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6230657

8. Memristor Bridge Synapse-Based Neural Network and Its Learning
Shyam Prasad Adhikari; Changju Yang; Hyongsuk Kim; Leon O. Chua
Page(s): 1426 - 1435
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6232461

9. Efficient Sparse Modeling With Automatic Feature Grouping
Leon Wenliang Zhong; James T. Kwok
Page(s): 1436 - 1447
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6238378

10. Hierarchical Approach for Multiscale Support Vector Regression
Francesco Bellocchio; Stefano Ferrari; Vincenzo Piuri; Nunzio Alberto Borghese
Page(s): 1448 - 1460
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6238377

11. Discretized-Vapnik-Chervonenkis Dimension for Analyzing Complexity of Real Function Classes
Chao Zhang; Wei Bian; Dacheng Tao; Weisi Lin
Page(s): 1461 - 1472
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6239601

12. Limit Set Dichotomy and Multistability for a Class of Cooperative Neural Networks With Delays
Mauro Di Marco; Mauro Forti; Massimo Grazzini; Luca Pancioni
Page(s): 1473 - 1485
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6241435

13. Adaptive Visual and Auditory Map Alignment in Barn Owl Superior Colliculus and Its Neuromorphic Implementation
Juan Huo; Alan Murray; Dongqing Wei
Page(s): 1486 - 1497
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6255791

14. Bidirectional Extreme Learning Machine for Regression Problem and Its Learning Effectiveness
Yimin Yang; Yaonan Wang; Xiaofang Yuan
Page(s): 1498 - 1505
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6222007

15. Enhancing Weak Signal Transmission Through a Feedforward Network
Xiaoming Liang; Liang Zhao; Zonghua Liu
Page(s): 1506 - 1512
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6227359

ECoS toolbox API?

Is anyone interested in an ECoS DLL / API? I'm thinking of wrapping the functionality in the command-line ECoS Toolbox up in a DLL and providing an API so that people could include EFuNN and SECoS in their own programs. Is this a worthwhile use of my time? Would anyone use it?

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.