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.
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).
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.
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.
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.
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.
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.
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.
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.
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.
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
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
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.
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.
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.
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
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.
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.
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