Neural Networks new articles 29 April - 5 May

1. Ideal regularization for learning kernels from labels  
Author(s): Binbin Pan, Jianhuang Lai, Lixin Shen
    
2. Synaptic dynamics: Linear model and adaptation algorithm  
Author(s): Ali Yousefi, Alireza A. Dibazar, Theodore W. Berger

Call for Papers: IEEE SSCI 2014

Welcome to the sunshine of Orlando, Florida for the IEEE SSCI 2014, a flagship international conference sponsored by the IEEE Computational Intelligence Society (CIS) promoting all aspects of Computational Intelligence (CI). The IEEE SSCI 2014 co-locates multiple exciting symposiums at one single location, providing a unique opportunity to encourage cross-fertilization and collaborations in all areas of CI. The IEEE SSCI 2014 features a large number of keynotes, tutorials, and special sessions. The IEEE SSCI 2014 will also offer a number of travel grants as well as an exciting Doctoral Consortium.

We hope you could participate this exciting event, and look forward to seeing you in Orlando in December 2014!

Important dates

Paper submission:          June 15, 2014
Notification to authors:   September 5, 2014
Final submission:            October 5, 2014
Early registration:           October 5, 2014
Website:                        www.ieee-ssci.org

For paper submissions, please go to the conference website: www.ieee-ssci.org and click the "Paper Submission" from the left panel, or directly go to the paper submission link at: ieee-cis.org/conferences/ssci2014/upload.php

IEEE SSCI 2014 features the following Symposia:

• ADPRL'14:     IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, Huaguang Zhang, China, Jagannathan Sarangapani, USA, Lucian Busoniu, Romania.

• CCMB'14:      IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain, Leonid Perlovsky, USA, Jose F Fontanari, Brazil, Angelo Cangelosi, UK, Daniel Levine, USA, Robert Kozma, USA

• CIASG'14:     IEEE Symposium on Computational Intelligence Applications in Smart Grid, G. Kumar Venayagamoorthy, USA, Jung-Wook Park, Korea.

• CIBCI'14:     IEEE Symposium on Computational Intelligence in Brain Computer Interfaces, Damien Coyle, UK, Robert Kozma, USA, Kai Keng Ang, Singapore.

• CIBD'14:      IEEE Symposium on Computational Intelligence in Big Data, Yaochu Jin, UK, Yonghong Peng, UK, Nitesh Chawla, USA, Marios Polycarpou, Cyprus.

• CIBIM'14:     IEEE Symposium on Computational Intelligence in Biometrics and Identity Management, Qinghan Xiao, Canada, David Zhang, China, Fabio Scotti, Italy

• CICA'14,      IEEE Symposium on Computational Intelligence in Control and Automation, Xiao-Jun Zeng, UK.

• CICARE'14,    IEEE Symposium on Computational Intelligence in healthcare and e-health, Amir Hussain, UK, Jonathan Wu, Canada.

• CIComms'14,   IEEE Symposium on Computational Intelligence for Communication Systems and Networks, Sergey Andreev, Finland, Raymond Carroll, Ireland, Maode Ma, Singapore, Paolo Rocca, Italy.

• CICS'14,      IEEE Symposium on Computational Intelligence in Cyber Security, Dipankar Dasgupta, USA

• CIDM'14,      IEEE Symposium on Computational Intelligence and Data Mining, Zhi-Hua Zhou, China, Barbara Hammer, Germany, Carlotta Domeniconi, USA.

• CIDUE'14,     IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, Yaochu Jin, UK, Robi Polikar, USA, Shengxiang Yang, UK

• CIEL'14,      IEEE Symposium on Computational Intelligence in Ensemble Learning, Nikhil R. Pal, India, P. N. Suganthan, Singapore, Xin Yao, UK, Wenjia Wang, UK.

• CIES'14,      IEEE Symposium on Computational Intelligence for Engineering Solutions, Michael Beer, UK, Rudolf Kruse, Germany, Vladik Kreinovich, USA.

• CIHLI'14,     IEEE Symposium on Computational Intelligence for Human-like Intelligence, Jacek Mandziuk, Poland, Wlodzislaw Duch, Poland, Janusz A. Starzyk, USA.

• CIMSIVP'14,   IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing, Khan M Iftekharuddin, USA, Salim Bouzerdoum,Australia.

• CIPLS'14,     IEEE Symposium on Computational Intelligence in Production and Logistics Systems, Bülent Çatay, Turkey, Raymond Chiong, Australia, Patrick Siarry, France.

• CIVTS'14,     IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, Dipti Srinivasan, Singapore, Justin Dauwels, Singapore, Ana Bazzan, Brazil

• EALS'14,      IEEE Symposium on Evolving and Autonomous Learning Systems, Plamen Angelov, U.K., Dimitar Filev, USA, Nikola Kasabov, New Zealand.

• FOCI'14,      IEEE Symposium on Foundations of Computational Intelligence, Manuel Ojeda-Aciego, Spain, Leonardo Franco, Spain, Carlos Cotta, Spain.

• IA'14,        IEEE Symposium on Intelligent Agents, Hani Hagras, UK, Vincenzo Loia, Italy.

• IES'14,       IEEE Symposium on Intelligent Embedded Systems, Cesare Alippi, Italy, Giacomo Boracchi, Italy, Manuel Roveri, Italy.

• ICES'14,      IEEE International Conference on Evolvable Systems, Andrew Tyrrell, UK, Martin Trefzer, UK.

• ISIC'14,      IEEE International Symposium on Independent Computing, Robert Kozma, USA, Qingfu Zhao, Japan, Cheng-Hsiung Hsieh, Taiwan, Neil Y. Yen, Japan.

• CIR2AT'14,    IEEE Symposium on Computational Intelligence in Robotic Rehabilitation and Assistive Technologies, Gui DeSouza, USA, James Patton, USA, Georgios Kouroupetroglou, Greece

• MC'14,        IEEE Workshop on Memetic Computing, Giovanni Iacca, Netherlands, Fabio Caraffini, UK, Ferrante Neri, UK

• MCDM'14,      IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making, Yaochu Jin, UK, Piero Bonissone, USA, Juergen Branke, UK

• RiiSS'14,     IEEE Symposium on Robotic Intelligence in Informationally Structured Space, Janos Botzheim, Japan, Chu Kiong  Loo, Malaysia.

• SDE'14,       IEEE Symposium on Differential Evolution, Janez Brest, Slovenia, Swagatam Das, India, Ferrante Neri, UK

• SIS'14,       IEEE Symposium on Swarm Intelligence, Yuhui Shi, China, P. N. Suganthan, Singapore.

General Chair:            Haibo He, USA
General Program Chair:    Cesare Alippi, Italy

Neural Networks new articles 21-27 April 2014

1. Relative entropy minimizing noisy non-linear neural network to approximate stochastic processes
Author(s): Mathieu N. Galtier, Camille Marini, Gilles Wainrib, Herbert Jaeger

Conference submission deadline: SEAL 2014

The deadline for submitting papers to the 10th International Conference on Simulated Evolution and Learning (SEAL) 2014 is 14 July, 2014. This conference will be held in Dunedin, New Zealand, 15-18 December, 2014.

IEEE Transactions on Neural Networks and Learning Systems: Volume 25, Issue 5, May 2014

1. Classification in the Presence of Label Noise: A Survey
Author(s): Benoit Frenay and Michel Verleysen
Pages: 845 - 869

2. Efficient Algorithms for Exact Inference in Sequence Labeling SVMs
Author(s): Alexander Bauer; Nico Gornitz; Franziska Biegler; Klaus-Robert Muller; Marius Kloft
Pages: 870 - 881

3. Robust Adaptive Dynamic Programming and Feedback Stabilization of Nonlinear Systems
Author(s): Yu Jiang; Zhong-Ping Jiang
Pages: 882 - 893

4. A Spiking Self-Organizing Map Combining STDP, Oscillations, and Continuous Learning
Author(s): Timothy Rumbell; Susan L. Denham; Thomas Wennekers
Pages: 894 - 907

5. An Online Outlier Identification and Removal Scheme for Improving Fault Detection Performance
Author(s): Hasan Ferdowsi; Sarangapani Jagannathan; Maciej Zawodniok
Pages: 908 - 919

6. Fidelity-Based Probabilistic Q-Learning for Control of Quantum Systems
Author(s): Chunlin Chen; Daoyi Dong; Han-Xiong Li; Jian Chu; Tzyh-Jong Tarn
Pages: 920 - 933

7. On the Impact of Approximate Computation in an Analog DeSTIN Architecture
Author(s): Steven Young; Junjie Lu; Jeremy Holleman; Itamar Arel
Pages: 934 - 946

8. Adaptive Neural Tracking Control for a Class of Nonstrict-Feedback Stochastic Nonlinear Systems With Unknown Backlash-Like Hysteresis
Author(s): Huanqing Wang; Bing Chen; Kefu Liu; Xiaoping Liu; Chong Lin
Pages: 947 - 958

9. Simplified Interval Type-2 Fuzzy Neural Networks
Author(s): Yang-Yin Lin; Shih-Hui Liao; Jyh-Yeong Chang; Chin-Teng Lin
Pages: 959 - 969

10. Modeling of Batch Processes Using Explicitly Time-Dependent Artificial Neural Networks
Author(s): Botla Ganesh; Vadlagattu Varun Kumar; Kalipatnapu Yamuna Rani
Pages: 970 - 979

11. Storing Sparse Messages in Networks of Neural Cliques
Author(s): Behrooz Kamary Aliabadi; Claude Berrou; Vincent Gripon; Xiaoran Jiang
Pages: 980 - 989

12. Incipient Interturn Fault Diagnosis in Induction Machines Using an Analytic Wavelet-Based Optimized Bayesian Inference
Author(s): Jeevanand Seshadrinath; Bhim Singh; Bijaya Ketan Panigrahi
Pages: 990 - 1001

13. A Scalable Stagewise Approach to Large-Margin Multiclass Loss-Based Boosting
Author(s): Sakrapee Paisitkriangkrai; Chunhua Shen; Anton van den Hengel
Pages: 1002 - 1013

14. Data-Driven MFAC for a Class of Discrete-Time Nonlinear Systems With RBFNN
Author(s): Yuanming Zhu; Zhongsheng Hou
Pages: 1013 - 1020

Conference paper deadline: ICAPR 2015

The deadline for submitting papers to the Eighth International Conference on Advances in Pattern Recognition (ICAPR) 2015 is June 15, 2014. This conference will be held in Kolkata, India, January 4-7 2015.

Neural Networks Volume 54, Pages 1-122, June 2014

Neural Networks Letters

1. Interaction of feedforward and feedback streams in visual cortex in a firing-rate model of columnar computations  
Author(s): Tobias Brosch, Heiko Neumann
Pages: 11-16
 

Learning Systems

2. Learning invariant object recognition from temporal correlation in a hierarchical network  
Author(s): Markus Lessmann, Rolf P. Würtz
Pages: 70-84
   
3. Growing Neural Gas approach for obtaining homogeneous maps by restricting the insertion of new nodes 
Author(s): Yuri Quintana-Pacheco, Daniel Ruiz-Fernández, Agustín Magrans-Rico
Pages: 95-102
   

Mathematical and Computational Analysis

4. An improved robust stability result for uncertain neural networks with multiple time delays 
Author(s): Sabri Arik
Pages: 1-10
   
5. Solving the linear interval tolerance problem for weight initialization of neural networks 
Author(s): S.P. Adam, D.A. Karras, G.D. Magoulas, M.N. Vrahatis
Pages: 17-37
   
6. Necessary and sufficient condition for multistability of neural networks evolving on a closed hypercube 
Author(s): Mauro Di Marco, Mauro Forti, Massimo Grazzini, Luca Pancioni
Pages: 38-48

7. Stable locality sensitive discriminant analysis for image recognition 
Author(s): Quanxue Gao, Jingjing Liu, Kai Cui, Hailin Zhang, Xiaogang Wang
Pages: 49-56

8. Global asymptotic stability analysis for delayed neural networks using a matrix-based quadratic convex approach 
Author(s): Xian-Ming Zhang, Qing-Long Han
Pages: 57-69

9. Impulsive synchronization schemes of stochastic complex networks with switching topology: Average time approach 
Author(s): Chaojie Li, Wenwu Yu, Tingwen Huang
Pages: 85-94

10. New criterion of asymptotic stability for delay systems with time-varying structures and delays 
Author(s): Bo Liu, Wenlian Lu, Tianping Chen
Pages: 103-111

11. A systematic method for analyzing robust stability of interval neural networks with time-delays based on stability criteria 
Author(s): Zhenyuan Guo, Jun Wang, Zheng Yan
Pages: 112-122

Neural Networks new articles 15 April - 21 April

1. Stability analysis of fractional-order Hopfield neural networks with time delays
Author(s): Hu Wang, Yongguang Yu, Guoguang Wen
   
2. A general soft label based linear discriminant analysis for semi-supervised dimensionality reduction
Author(s): Mingbo Zhao, Zhao Zhang, Tommy W.S. Chow, Bing Li

Conference paper deadline: IEEE CISDA 2014

The deadline for submitting papers to the Seventh IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA) 2014 is June 15, 2014. This conference will be held in Hanoi, Vietnam, 14-17 December, 2014.

Conference paper deadline: SCIS and ISIS 2014

The deadline for the jointly-held conferences Soft Computing and Intelligent Systems (SCIS) and International Symposium on Advanced Intelligent Systems (ISIS) 2014 is 30 June, 2014. This conference will be held in Kitakyushu, Japan, December 3-6, 2014.

Conference paper deadline: UKCI 2014

The deadline for submitting papers to the UK Workshop on Computational Intelligence (UKCI) 2014 is 19 May 2014. This conference will be held in Bradford, UK, 8-10 September, 2014.

Call for Papers: Special Issue on Real-Time Strategy Games IEEE TCIAIG

Special issue editors: Michael Buro, Santiago Ontañón and Mike Preuss

In recent years game AI for real-time strategy (RTS) games has become an active research area. Producing AI players (bots) which are able to consistently beat even average human players (without cheating) in these games has risen as a real challenge. Thus, in RTS games, player satisfaction cannot simply be achieved by “downgrading” the AI, as is possible in man other game genres. In consequence, stronger AI players make the game more interesting.

Recent RTS AI (e.g. StarCraft) tournaments have stimulated the creation of new bots with new concepts and architectures and led to a greatly increased number of publications addressing some of the many open AI problems in RTS games. For example, RTS game aspects such as resource management, scouting, real-time strategic and tactical planning, and others, call for the application of innovative CI/AI methods. This special issue welcomes high-quality work in the area of real-time strategy games. Topics include but are not limited to:

• Adversarial real-time planning in RTS games
• Bot reactiveness: learning and adaptation in RTS bots
• Build order optimization and its relation to strategies and the metagame
• Scouting and uncertainty management in RTS games
• Path-finding and group movement
• Combat simulation and AI for micro-management
• Opponent modeling, especially strategy prediction
• Complexity measurements for RTS games
• Communication and cooperation with and within RTS bots
• New forms of interaction with the player
• AI adaptations for more satisfying play experience
• Difficulty adaptation, ability-based matching, ladders, and tournaments
• Automated level/unit/map design for RTS games
• Multiplayer online battle arena (MOBA) games: the next generation of real-time strategy?

Authors should follow normal T-CIAIG guidelines for their submissions, but clearly identify their papers for this special issue during the submission process. See http://csee.essex.ac.uk/tciaig/authors.html for author information. Extended versions of previously published conference/workshop papers are welcome providing the journal paper is a significant extension of the conference paper, and is accompanied by a covering letter explaining the additional contribution.

Deadline for submissions: July 1, 2014 Final copy due: February 1, 2015
Notification of Acceptance: November 1, 2014 Publication: June 2015

Reminder: paper submission deadline for KES 2014

A reminder that the deadline for submitting papers to the 18th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES) 2014 is 15 March, 2014. This conference will be held in Gdynia, Poland, 15-17 September, 2014.

IEEE Computational Intelligence Magazine Volume 9 Issue 2 May 2014

1. What Is Your Main IEEE Society? [Editor's Remarks]
Author(s): Ishibuchi, H.

2. President's Greeting [President's Message]
Author(s): Yao, X.

3. CIS Society Officers

4. Newly Elected CIS Administrative Committee Members (2014-2016) [Society Briefs]
Author(s): Yao, X.

5. IEEE Fellows - Class of 2014 [Society Briefs]
Author(s): Bezdek, J.

6. A Report on the CIS Second Video Competition [Society Briefs]
Author(s): Matthews, S. ; Abdool, A. ; Eliades, D. ; Coyle, D. ; Posada, J. ; Martin, E. ; Sperduti, A. ; Alippi, C. ; Estevez, P.

7. CIS Publication Spotlight
Author(s): Liu, D. ; Lin, C. ; Greenwood, G. ; Lucas, S. ; Zhang, Z.

8. Special Issue on Computational Intelligence for Community-Centric Systems [Guest Editorial]
Author(s): Kubota, N. ; Liu, H.

9. Context-Aware Personal Information Retrieval From Multiple Social Networks
Author(s): Han, X. ; Wei, W. ; Miao, C. ; Mei, J. ; Song, H.

10. Landmark-Based Methods for Temporal Alignment of Human Motions
Author(s): de Dios, P. ; Chung, P. ; Meng, Q.

11. Muscle Fatigue Tracking with Evoked EMG via Recurrent Neural Network: Toward Personalized Neuroprosthetics
Author(s): Li, Z. ; Hayashibe, M. ; Fattal, C. ; Guiraud, D.

12. Jumping NLP Curves: A Review of Natural Language Processing Research [Review Article]
Author(s): Cambria, E. ; White, B.

13. A Memetic Algorithm for Resource Allocation Problem Based on Node-Weighted Graphs [Application Notes]
Author(s): Wu, J. ; Chang, Z. ; Yuan, L. ; Hou, Y. ; Gong, M.

14. Conference Calendar
Author(s): Haddow, P.

15. Call for Papers for Journal Special Issues

16. CEC 2015

Neural Networks new articles 31 March - 6 April

1. Model, analysis, and evaluation of the effects of analog VLSI arithmetic on linear subspace-based image recognition  
Author(s): Gonzalo Carvajal, Miguel Figueroa

Call for Special Session Proposals for IEEE SSCI 2014

The IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2014) invites Special Session proposals for our December 9 - 12, 2014 conference in Orlando, Florida, USA. Special session proposals can be for any of the symposium under the IEEE SSCI 2014 umbrella. Special Session proposals should include the following:

• A brief description, rationale or motivation of the proposed session
• The title of the proposed special session, and the specific symposium under which the special session should be listed
• List of topics and the scope
• A list of authors who have already been invited to participate (if any)
• Short bio information of the SS organizers

Please submit the SS proposals to the corresponding Symposium Chairs (Symposium Chairs can approve their SS directly, see list of Symposia at http://www.ieee-ssci.org/glance.html), or to the SSCI 2014 Special Session Chair, Robi Polikar at polikar@rowan.edu, with a copy to Haibo He at he@ele.uri.edu. More details can be found at http://www.ieee-ssci.org.

The deadline for special session proposals is April 15, 2014.

IEEE TNLS Call for Papers: Special issue on "Neurodynamic Systems for Optimization and Applications"

Recurrent neural networks, as dynamical systems, are usually used as models for solving computationally intensive problems. Because of their inherent nature of parallel and distributed information processing, recurrent neural networks are promising computational models for real-time applications. Constrained optimization problems arise in a wide variety of scientific and engineering applications, including signal and image processing, system identification, robot control, process control, pattern recognition, etc. Since the Hopfield neural network was introduced for solving optimization problems, significant progress has been made in theory, algorithms and applications. A number of neurodynamic models have been proposed for solving different problems ranging from discrete optimization to continuous optimization, linear programming to nonlinear optimization, convex optimization to non-convex optimization, smooth optimization to non-smooth optimization, numerical software to analog hardware implementations, etc. Some of them have been successfully applied to robot control, process control, signal and image processing, pattern recognition and classification, economic prediction and so on. In addition, as a kind of neuromorphic systems, they are potentially useful for simulating the brain functions, which is an important topic in neuroscience.

The objective of this special issue is to bring together recent advances in the field of neurodynamic systems for solving optimization problems. We invite original and unpublished research contributions in all relevant areas. We will encourage submissions of papers with new models and applications which would further promote research activities in this area.

Topics of interest include, but are not limited to:

• Neurodynamic models for constrained optimization

• Neurodynamic models for multi-objective optimization

• Neurodynamic models for large-scale optimization problems

• Neurodynamic models for deep learning

• Neurodynamic models for optimal control

• Neurodynamic models for tensor decomposition

• Analysis of neurodynamic optimization systems

• Neurodynamic optimization in the brain

• Neurodynamic optimization for process control

• Neurodynamic optimization for robot control

• Neurodynamic optimization for biomedical engineering problems

• Neurodynamic optimization for signal processing

• Neurodynamic optimization for image processing

• Neurodynamic optimization for support vector machine learning

• Neurodynamic optimization for pattern recognition

• Neurodynamic optimization for other applications

IMPORTANT DATES

Aug. 15, 2014 – Deadline for manuscript submission
Dec. 31, 2014 – Notification to authors
Feb. 15, 2015 – Deadline for submission of revised manuscripts
Mar.1, 2015 – Final decision
May/June 2015 – Special issue publication in the IEEE TNNLS.

SUBMISSION INSTRUCTIONS

1. Read the information for authors at http://cis.ieee.org/tnnls

2. Submit the manuscript by Aug 15, 2014 at the IEEE-TNNLS webpage http://mc.manuscriptcentral.com/tnnls and follow the submission procedure. Please indicate clearly on the first page of the manuscript and the Author’s Cover Letter that the manuscript has been submitted to the Special Issue on Neurodynamic Systems for Optimization and Applications. Send also an e-mail to chenglong@compsys.ia.ac.cn with subject “TNNLS special issue submission” to notify the editors of your submission.

GUEST EDITORS

Zhigang Zeng
Huazhong University of Science and Technology, China
zgzeng@hust.edu.cn
http://auto.hust.edu.cn/zhigangzeng/

Andrzej Cichocki
Brain Science Institute, RIKEN, Japan
cia@braiin.riken.jp
http://www.bsp.brain.riken.jp/~cia/

Long Cheng
Institute of Automation, Chinese Academy of Sciences, China
long.cheng@ia.ac.cn
http://compsys.ia.ac.cn/~chenglong

Yousheng Xia
Fuzhou University, China
ysxia@fzu.edu.cn
http://cmcs.fzu.edu.cn/action-model-name-teacher-itemid-34

Xiaolin Hu
Tsinghua University, China
xlhu@tsinghua.edu.cn
www.xlhu.cn

Neural Networks Volume 53, pages 1-172, May 2014

Neural Networks Letters

1. Further results on robustness analysis of global exponential stability of recurrent neural networks with time delays and random disturbances
Author(s): Weiwei Luo, Kai Zhong, Song Zhu, Yi Shen
Pages: 127-133
   
2. Fastest strategy to achieve given number of neuronal firing in theta model  
Author(s): Jiaoyan Wang, Qingyun Wang, Guanrong Chen
Pages: 134-145
   
3. Matrix measure strategies for stability and synchronization of inertial BAM neural network with time delays  
Author(s): Jinde Cao, Ying Wan
Pages: 165-172
   

Learning Systems

4. Cross-person activity recognition using reduced kernel extreme learning machine
Author(s): Wan-Yu Deng, Qing-Hua Zheng, Zhong-Min Wang
Pages: 1-7
   
5. Robust head pose estimation via supervised manifold learning
Author(s): Chao Wang, Xubo Song
Pages: 15-25
   
6. Assist-as-needed robotic trainer based on reinforcement learning and its application to dart-throwing
Author(s): Chihiro Obayashi, Tomoya Tamei, Tomohiro Shibata
Pages: 52-60
   
7. Kernel learning at the first level of inference
Author(s): Gavin C. Cawley, Nicola L.C. Talbot
Pages: 69-80
   
8. Similarity preserving low-rank representation for enhanced data representation and effective subspace learning
Author(s): Zhao Zhang, Shuicheng Yan, Mingbo Zhao
Pages: 81-94
   
9. Learning using privileged information: SVM+ and weighted SVM
Author(s): Maksim Lapin, Matthias Hein, Bernt Schiele
Pages: 95-108
   
10. Safe semi-supervised learning based on weighted likelihood
Author(s): Masanori Kawakita, Jun’ichi Takeuchi
Pages: 146-164
   

Mathematical and Computational Analysis

11. Synchronization control of memristor-based recurrent neural networks with perturbations
Author(s): Weiping Wang, Lixiang Li, Haipeng Peng, Jinghua Xiao, Yixian Yang
Pages: 8-14
   
12. Effects of asymmetric coupling and self-coupling on metastable dynamical transient rotating waves in a ring of sigmoidal neurons
Author(s): Yo Horikawa
Pages: 26-39
   
13. Generalization performance of Gaussian kernels SVMC based on Markov sampling
Author(s): Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu
Pages: 40-51

14. Convergence behavior of delayed discrete cellular neural network without periodic coefficients
Author(s): Jinling Wang, Haijun Jiang, Cheng Hu, Tianlong Ma
Pages: 61-68

15. Multiple image mu-stability of neural networks with unbounded time-varying delays
Author(s): Lili Wang, Tianping Chen
Pages: 109-118

16. Extreme learning machine for ranking: Generalization analysis and applications
Author(s): Hong Chen, Jiangtao Peng, Yicong Zhou, Luoqing Li, Zhibin Pan
Pages: 119-126

Neural Networks new articles 24-30 March

1. Toward limb position invariant myoelectric pattern recognition using time-dependent spectral features
Author(s): Rami N. Khushaba, Maen Takruri, Jaime Valls Miro, Sarath Kodagoda
  
2. A collective neurodynamic optimization approach to bound-constrained nonconvex optimization  
Author(s): Zheng Yan, Jun Wang, Guocheng Li
   
3. Exponential synchronization of delayed memristor-based chaotic neural networks via periodically intermittent control 
Author(s): Guodong Zhang, Yi Shen
  
4. Discrete-time online learning control for a class of unknown nonaffine nonlinear systems using reinforcement learning  
Author(s): Xiong Yang, Derong Liu, Ding Wang, Qinglai Wei
   
5. A global coupling index of multivariate neural series with application to the evaluation of mild cognitive impairment  
Author(s): Dong Wen, Qing Xue, Chengbiao Lu, Xinyong Guan, Yuping Wang, Xiaoli Li

6. Detecting cells using non-negative matrix factorization on calcium imaging data
Author(s): Ryuichi Maruyama, Kazuma Maeda, Hajime Moroda, Ichiro Kato, Masashi Inoue, Hiroyoshi Miyakawa, Toru Aonishi

IEEE Transactions on Evolutionary Computation Volume 18, Number 2, April 2014

PAPERS

1. Artificial Biochemical Networks: Evolving Dynamical Systems to Control Dynamical Systems
Author(s): M. A. Lones, L. A. Fuente, A. P. Turner, L. S. D. Caves, S. Stepney, S. L. Smith, and A. M. Tyrrell
Pages: 145-166

2. Multi-Objective Optimization by Using Evolutionary Algorithms: The p-Optimality Criteria
Author(s): E. Carre ̃no Jara
Pages: 167-179

3. A Gaussian Process Surrogate Model Assisted Evolutionary Algorithm for Medium Scale Expensive Optimization Problems
Author(s): B. Liu, Q. Zhang, and G. G. E. Gielen
Pages: 180-192

4. Automatic Design of Scheduling Policies for Dynamic Multi-objective Job Shop Scheduling via Cooperative Coevolution Genetic Programming
Author(s): S. Nguyen, M. Zhang, M. Johnston, and K. Chen Tan
Pages: 193-208

5. An Improved Differential Evolution Algorithm for Practical Dynamic Scheduling in Steelmaking-Continuous Casting Production
Author(s): L. Tang, Y. Zhao, and J. Liu
Pages: 209-225

6. Frequency Fitness Assignment
Author(s): T. Weise, M. Wan, P. Wang, K. Tang, A. Devert, and X. Yao
Pages: 226-243

7. Localization of License Plate Number Using Dynamic Image Processing Techniques and Genetic Algorithms
Author(s): G. Abo Samra and F. Khalefah
Pages: 244-257

8. Comparison Study of Swarm Intelligence Techniques for the Annual Crop Planning Problem
Author(s): S. Chetty and A. O. Adewumi
Pages: 258-268

9. Fuzzy-Based Pareto Optimality for Many-Objective Evolutionary Algorithms
Author(s): Z. He, G. G. Yen, and J. Zhang
Pages: 269-287

10. A Distance-Based Ranking Model Estimation of Distribution Algorithm for the Flowshop Scheduling Problem
Author(s): J. Ceberio, E. Irurozki, A. Mendiburu, and J. A. Lozano
Pages: 286-300

LETTER

11. A Discrete Firefly Algorithm for the Multi-Objective Hybrid Flowshop Scheduling Problems
Author(s): M. K. Marichelvam, T. Prabaharan, and X. S. Yang
Pages: 301