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
Wednesday, January 16, 2013
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; 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
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
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.
Friday, December 28, 2012
Reminder: paper submission deadline for IJCAI 2013
A reminder that the paper submission deadline for the 23rd International Joint Conference on Artificial Intelligence (IJCAI) 2013 is January 31, 2013. This conference will be held in Beijing, China, August 3-9, 2013.
Thursday, December 20, 2012
Conference paper deadline: ICANN 2013
The deadline for submitting papers to the 23rd International Conference on Neural Networks (ICANN) 2013 is February 15, 2013. This conference will be held in Sofia, Bulgaria, September 10-13, 2013.
Friday, December 14, 2012
Reminder: paper submission deadline for ICONS 2013
A reminder that the deadline for submitting papers to the 3rd International Conference on Intelligent Control and Automation Science (ICONS) 2013 is 15 March, 2013. This conference will be held in Chengdu, China, 2-4 September, 2013.
Wednesday, December 12, 2012
IEEE Transactions on Fuzzy Systems: Volume 20 Issue 6
1. Robust Nonfragile H_\infty Filtering of Fuzzy Systems With Linear Fractional Parametric Uncertainties
Chang, X-.H.
Page(s): 1001 - 1011
2. Adaptive Fuzzy Control of a Class of Nonlinear Systems by Fuzzy Approximation Approach
Chen, B.; Liu, X. P.; Ge, S. S.; Lin, C.
Page(s): 1012 - 1021
3. Robust Control for Fuzzy Dynamical Systems: Uniform Ultimate Boundedness and Optimality
Huang, J.; Chen, Y-.H.; Cheng, A.
Page(s): 1022 - 1031
4. An Extension of Fuzzy Measures to Multisets and Its Relation to Distorted Probabilities
Torra, V.; Stokes, K.; Narukawa, Y.
Page(s): 1032 - 1045
5. Observer-Based Piecewise Affine Output Feedback Controller Synthesis of Continuous-Time T–S Fuzzy Affine Dynamic Systems Using Quantized Measurements
Qiu, J.; Feng, G.; Gao, H.
Page(s): 1046 - 1062
6. A Global Exponential Fuzzy Observer Design for Time-Delay Takagi–Sugeno Uncertain Discrete Fuzzy Bilinear Systems With Disturbance
Tsai, S.-H.
Page(s): 1063 - 1075
7. Improved Structure Optimization for Fuzzy-Neural Networks
Pizzileo, B.; Li, K.; Irwin, G. W.; Zhao, W.
Page(s): 1076 - 1089
8. A Kernel-Based Framework for Learning Graded Relations From Data
Waegeman, W.; Pahikkala, T.; Airola, A.; Salakoski, T.; Stock, M.; De Baets, B.
Page(s): 1090 - 1101
9. Preference Learning Using the Choquet Integral: The Case of Multipartite Ranking
Tehrani, A. F.; Cheng, W.; Hullermeier, E.
Page(s): 1102 - 1113
10. A Novel Approach to Filter Design for T–S Fuzzy Discrete-Time Systems With Time-Varying Delay
Su, X.; Shi, P.; Wu, L.; Song, Y-.D.
Page(s): 1114 - 1129
11. Fuzzy c-Means Algorithms for Very Large Data
Havens, T. C.; Bezdek, J. C.; Leckie, C.; Hall, L. O.; Palaniswami, M.
Page(s): 1130 - 1146
12. TSK Fuzzy CMAC-Based Robust Adaptive Backstepping Control for Uncertain Nonlinear Systems
Lin, C.-M.; Li, H.-Y.
Page(s): 1147 - 1154
13. Uncertain Alternating Renewal Process and Its Application
Yao, K.; Li, X.
Page(s): 1154 - 1160
14. LMI Solution for Robust Static Output Feedback Control of Discrete Takagi–Sugeno Fuzzy Models
Chadli, M.; Guerra, T. M.
Page(s): 1160 - 1165
15. Relaxed Stabilization Criterion for T–S Fuzzy Systems by Minimum-Type Piecewise-Lyapunov-Function-Based Switching Fuzzy Controller
Chen, Y-.J.; Ohtake, H.; Tanaka, K.; Wang, W-.J.; Wang, H. O.
Page(s): 1166 - 1173
Chang, X-.H.
Page(s): 1001 - 1011
2. Adaptive Fuzzy Control of a Class of Nonlinear Systems by Fuzzy Approximation Approach
Chen, B.; Liu, X. P.; Ge, S. S.; Lin, C.
Page(s): 1012 - 1021
3. Robust Control for Fuzzy Dynamical Systems: Uniform Ultimate Boundedness and Optimality
Huang, J.; Chen, Y-.H.; Cheng, A.
Page(s): 1022 - 1031
4. An Extension of Fuzzy Measures to Multisets and Its Relation to Distorted Probabilities
Torra, V.; Stokes, K.; Narukawa, Y.
Page(s): 1032 - 1045
5. Observer-Based Piecewise Affine Output Feedback Controller Synthesis of Continuous-Time T–S Fuzzy Affine Dynamic Systems Using Quantized Measurements
Qiu, J.; Feng, G.; Gao, H.
Page(s): 1046 - 1062
6. A Global Exponential Fuzzy Observer Design for Time-Delay Takagi–Sugeno Uncertain Discrete Fuzzy Bilinear Systems With Disturbance
Tsai, S.-H.
Page(s): 1063 - 1075
7. Improved Structure Optimization for Fuzzy-Neural Networks
Pizzileo, B.; Li, K.; Irwin, G. W.; Zhao, W.
Page(s): 1076 - 1089
8. A Kernel-Based Framework for Learning Graded Relations From Data
Waegeman, W.; Pahikkala, T.; Airola, A.; Salakoski, T.; Stock, M.; De Baets, B.
Page(s): 1090 - 1101
9. Preference Learning Using the Choquet Integral: The Case of Multipartite Ranking
Tehrani, A. F.; Cheng, W.; Hullermeier, E.
Page(s): 1102 - 1113
10. A Novel Approach to Filter Design for T–S Fuzzy Discrete-Time Systems With Time-Varying Delay
Su, X.; Shi, P.; Wu, L.; Song, Y-.D.
Page(s): 1114 - 1129
11. Fuzzy c-Means Algorithms for Very Large Data
Havens, T. C.; Bezdek, J. C.; Leckie, C.; Hall, L. O.; Palaniswami, M.
Page(s): 1130 - 1146
12. TSK Fuzzy CMAC-Based Robust Adaptive Backstepping Control for Uncertain Nonlinear Systems
Lin, C.-M.; Li, H.-Y.
Page(s): 1147 - 1154
13. Uncertain Alternating Renewal Process and Its Application
Yao, K.; Li, X.
Page(s): 1154 - 1160
14. LMI Solution for Robust Static Output Feedback Control of Discrete Takagi–Sugeno Fuzzy Models
Chadli, M.; Guerra, T. M.
Page(s): 1160 - 1165
15. Relaxed Stabilization Criterion for T–S Fuzzy Systems by Minimum-Type Piecewise-Lyapunov-Function-Based Switching Fuzzy Controller
Chen, Y-.J.; Ohtake, H.; Tanaka, K.; Wang, W-.J.; Wang, H. O.
Page(s): 1166 - 1173
Tuesday, December 11, 2012
IEEE Transactions on Evolutionary Computation: Volume 16 Issue 6
1. The Technology of the Gaps: An Evolvable Hardware Synthesized Oscillator for the Control of a Flapping-Wing Micro Air Vehicle
Gallagher, J. C.; Doman, D. B.; Oppenheimer, M. W.
Page(s): 753 - 768
2. Continuous Dynamic Constrained Optimization—The Challenges
Nguyen, T. T.; Yao, X.
Page(s): 769 - 786
3. Hybrid Metaheuristics Based on Evolutionary Algorithms and Simulated Annealing: Taxonomy, Comparison, and Synergy Test
Rodriguez, F. J.; Garcia-Martinez, C.; Lozano, M.
Page(s): 787 - 800
4. An Efficient Resource Allocation Scheme Using Particle Swarm Optimization
Gong, Y.-J.; Zhang, J.; Chung, H. S.-H.; Chen, W.-N.; Zhan, Z.-H.; Li, Y.; Shi, Y.-H.
Page(s): 801 - 816
5. Evolving Boolean Networks on Tunable Fitness Landscapes
Bull, L.
Page(s): 817 - 828
6. Efficient Forest Data Structure for Evolutionary Algorithms Applied to Network Design
Delbem, A. C. B.; de Lima, T. W.; Telles, G. P.
Page(s): 829 - 846
7. An Artificial Immune System for Classification With Local Feature Selection
Dudek, G.
Page(s): 847 - 860
8. The Automatic Design of Multiobjective Ant Colony Optimization Algorithms
Lopez-Ibanez, M.; Stutzle, T.
Page(s): 861 - 875
Gallagher, J. C.; Doman, D. B.; Oppenheimer, M. W.
Page(s): 753 - 768
2. Continuous Dynamic Constrained Optimization—The Challenges
Nguyen, T. T.; Yao, X.
Page(s): 769 - 786
3. Hybrid Metaheuristics Based on Evolutionary Algorithms and Simulated Annealing: Taxonomy, Comparison, and Synergy Test
Rodriguez, F. J.; Garcia-Martinez, C.; Lozano, M.
Page(s): 787 - 800
4. An Efficient Resource Allocation Scheme Using Particle Swarm Optimization
Gong, Y.-J.; Zhang, J.; Chung, H. S.-H.; Chen, W.-N.; Zhan, Z.-H.; Li, Y.; Shi, Y.-H.
Page(s): 801 - 816
5. Evolving Boolean Networks on Tunable Fitness Landscapes
Bull, L.
Page(s): 817 - 828
6. Efficient Forest Data Structure for Evolutionary Algorithms Applied to Network Design
Delbem, A. C. B.; de Lima, T. W.; Telles, G. P.
Page(s): 829 - 846
7. An Artificial Immune System for Classification With Local Feature Selection
Dudek, G.
Page(s): 847 - 860
8. The Automatic Design of Multiobjective Ant Colony Optimization Algorithms
Lopez-Ibanez, M.; Stutzle, T.
Page(s): 861 - 875
Friday, December 7, 2012
Open source textbook - Chapter 6 outline
The outline of chapter 6 of the open-source textbook "Intelligent Information Systems" is now available online here. Chapter 6 is entitled "Fuzzy Inference and Defuzzification" and covers the basic principles of fuzzy inference and defuzzification of fuzzy values into crisp values.
Previous posts about other chapters are:
Chapter 1: Introduction to Intelligent Information Systems
Chapter 2: Simple and Linear Transformations
Chapter 3: Non-Linear Transformations, Fourier and Wavelet Transformations
Chapter 4: Crisp Rule Based Systems
Chaper 5: Fuzzy Sets and Fuzzification
Please make any comments in the comments section of this post, or email contactATmike.watts.net.nz.
Previous posts about other chapters are:
Chapter 1: Introduction to Intelligent Information Systems
Chapter 2: Simple and Linear Transformations
Chapter 3: Non-Linear Transformations, Fourier and Wavelet Transformations
Chapter 4: Crisp Rule Based Systems
Chaper 5: Fuzzy Sets and Fuzzification
Please make any comments in the comments section of this post, or email contactATmike.watts.net.nz.
Thursday, December 6, 2012
Reminder: conference paper deadline: KES-IDT 2013
A reminder that the deadline for submitting papers to the 5th International Conference on Intelligent Decision Technologies (KES-IDT) is 6 January 2013. This conference will be held in Sesimbra, Portugal, 26-28 June 2013.
Wednesday, December 5, 2012
Reminder: paper submission deadline for Fuzz-IEEE 2013
A reminder that the deadline for submitting papers to the IEEE Conference on Fuzzy Systems (Fuzz-IEEE) 2013 is 5 January, 2013. This conference will be held in Hyderabad, India, 7-10 July, 2013.
Tuesday, December 4, 2012
Neural Networks: Twenty-fifth Anniversay Commemorative Issue
1. Editorial Board
Pages: IFC
2. Neural networks
Pages: iv-ix
3. Neural networks referees in 2012
Pages: x-xii
4. Editorial
Pages: xiii-xiv
5. Adaptive Resonance Theory: How a brain learns to consciously attend, learn, and recognize a changing world
Pages: 1-47
Author: Stephen Grossberg
6. Dreaming of mathematical neuroscience for half a century
Pages: 48-51
Author: Shun-ichi Amari
7. Essentials of the self-organizing map
Pages: 52-65
Author: Teuvo Kohonen
8. Synthetic event-related potentials: A computational bridge between neurolinguistic models and experiments
Pages: 66-92
Authors: Victor Barrès, Arthur Simons, Michael Arbib
9. DISCOV (DImensionless Shunting COlor Vision): A neural model for spatial data analysis
Pages: 93-102
Authors: Gail A. Carpenter, Suhas E. Chelian
10. Artificial vision by multi-layered neural networks: Neocognitron and its advances
Pages: 103-119
Author: Kunihiko Fukushima
11. Outline of a general theory of behavior and brain coordination
Pages: 120-131
Authors: J.A. Scott Kelso, Guillaume Dumas, Emmanuelle Tognoli
12. Noise-enhanced clustering and competitive learning algorithms
Pages: 132-140
Authors: Osonde Osoba, Bart Kosko
13. A neural model of visual figure-ground segregation from kinetic occlusion
Pages: 141-164
Authors: Timothy Barnes, Ennio Mingolla
14. Neural associative memories and sparse coding
Pages: 165-171
Author: Günther Palm
15. Local circuit inhibition in the cerebral cortex as the source of gain control and untuned suppression
Pages: 172-181
Authors: Robert M. Shapley, Dajun Xing
16. The No-Prop algorithm: A new learning algorithm for multilayer neural networks
Pages: 182-188
Authors: Bernard Widrow, Aaron Greenblatt, Youngsik Kim, Dookun Park
Pages: IFC
2. Neural networks
Pages: iv-ix
3. Neural networks referees in 2012
Pages: x-xii
4. Editorial
Pages: xiii-xiv
5. Adaptive Resonance Theory: How a brain learns to consciously attend, learn, and recognize a changing world
Pages: 1-47
Author: Stephen Grossberg
6. Dreaming of mathematical neuroscience for half a century
Pages: 48-51
Author: Shun-ichi Amari
7. Essentials of the self-organizing map
Pages: 52-65
Author: Teuvo Kohonen
8. Synthetic event-related potentials: A computational bridge between neurolinguistic models and experiments
Pages: 66-92
Authors: Victor Barrès, Arthur Simons, Michael Arbib
9. DISCOV (DImensionless Shunting COlor Vision): A neural model for spatial data analysis
Pages: 93-102
Authors: Gail A. Carpenter, Suhas E. Chelian
10. Artificial vision by multi-layered neural networks: Neocognitron and its advances
Pages: 103-119
Author: Kunihiko Fukushima
11. Outline of a general theory of behavior and brain coordination
Pages: 120-131
Authors: J.A. Scott Kelso, Guillaume Dumas, Emmanuelle Tognoli
12. Noise-enhanced clustering and competitive learning algorithms
Pages: 132-140
Authors: Osonde Osoba, Bart Kosko
13. A neural model of visual figure-ground segregation from kinetic occlusion
Pages: 141-164
Authors: Timothy Barnes, Ennio Mingolla
14. Neural associative memories and sparse coding
Pages: 165-171
Author: Günther Palm
15. Local circuit inhibition in the cerebral cortex as the source of gain control and untuned suppression
Pages: 172-181
Authors: Robert M. Shapley, Dajun Xing
16. The No-Prop algorithm: A new learning algorithm for multilayer neural networks
Pages: 182-188
Authors: Bernard Widrow, Aaron Greenblatt, Youngsik Kim, Dookun Park
Monday, December 3, 2012
Reminder: paper submission deadline for IC-SI 2013
A reminder that the deadline for submitting papers to the Fourth International Conference on Swarm Intelligence (IC-SI) 2013 is January 1, 2013. This conference will be held in Harbin, China, June 12-15, 2013.
Thursday, November 29, 2012
Database of University Courses on Computational Intelligence
This post is on behalf of the IEEE Computational Intelligence Society's University Curricula Subcommittee.
The IEEE Computational Intelligence Society has a database on over 100 courses of various aspects computational intelligence taught at undergraduate and graduate levels all over the world. If you are interested in learning about the existing courses or intend to list your own course, which could be accessed by students and teachers please visit the CIS University Curriculum web site http://cis.ieee.org/university-curricula.html
The IEEE Computational Intelligence Society has a database on over 100 courses of various aspects computational intelligence taught at undergraduate and graduate levels all over the world. If you are interested in learning about the existing courses or intend to list your own course, which could be accessed by students and teachers please visit the CIS University Curriculum web site http://cis.ieee.org/university-curricula.html
Tuesday, November 27, 2012
What I've learned so far about management
I'm almost three months into my new position, a position that involves managing several lecturers. So, what have I learned about management so far?
An old Chinese proverb goes something like this:
If a king treats his ministers as his arms and legs, they will treat him as their heart and mind.
If a king treats his ministers as his cattle, they will treat him as a peasant.
If a king treats his ministers as grass and mud, they will treat him as an enemy.
I think that this applies just as much to managers as it does to rulers. So, with that in mind, here is what I have learned so far about managing people.
1) To manage others you must first manage yourself. You cannot manage other people's time and tasks if your own time is being taken up with tasks that you have allowed to accumulate. This also means that you need to control the tasks that come your way: if you need an hour of uninterrupted time to get several tasks done, then close your office door, put up a Do Not Disturb sign, and get them done. If you have too many tasks to do, then don't take on anything new until the task list is more manageable. If some members of your staff can do a particular task better than you, then delegate.
2) You have to be nice to the people you manage. If you are indifferent to them, or even bullying to them, you will fail. I actually knew this a long time ago, so I never even thought about trying this approach (also known as the Marquis de Sade school of scorched-earth management). Managers who try to manage through fear engender the hostility of their staff, and hostile staff love to see their manager fail. You must manage your own frustrations and anger (see point 1).
3) You have to be humble. An old saying goes something like "Humility means never getting a door slammed in your face... or ON your face". New Zealand culture is still quite egalitarian and particularly values humility. Arrogant managers will lose the support of their staff, and fail. Humble managers, managers who freely admit that they don't know something and defer to the staff who do, will win the support of their staff. You must admit it when you make a mistake. If mistakes are out in the open, then they can be fixed.
4) You must listen to your staff. Most of the time they know what they are talking about, and most of them will know how to do at least one thing better than you. Apart from the fact that listening is the nice, polite thing to do, it also lets you know who you can delegate particular tasks to.
5) You must lead from the front whenever you can. Anyone can tell others what to do, but if you want to be respected as a manager, you must show that you can do it too.
6) You must explain why you want someone to do something. If you are giving someone a task, then you must tell them why the task must be done, why you are giving it to them, and suggest how you think it could be done. If I tell my young daughter to do something "because I say so", she won't do it. If it doesn't work on a child, why would it work on an intelligent adult?
I'm sure I'll learn more about management as time goes by, and I'll share what I learn.
An old Chinese proverb goes something like this:
If a king treats his ministers as his arms and legs, they will treat him as their heart and mind.
If a king treats his ministers as his cattle, they will treat him as a peasant.
If a king treats his ministers as grass and mud, they will treat him as an enemy.
I think that this applies just as much to managers as it does to rulers. So, with that in mind, here is what I have learned so far about managing people.
1) To manage others you must first manage yourself. You cannot manage other people's time and tasks if your own time is being taken up with tasks that you have allowed to accumulate. This also means that you need to control the tasks that come your way: if you need an hour of uninterrupted time to get several tasks done, then close your office door, put up a Do Not Disturb sign, and get them done. If you have too many tasks to do, then don't take on anything new until the task list is more manageable. If some members of your staff can do a particular task better than you, then delegate.
2) You have to be nice to the people you manage. If you are indifferent to them, or even bullying to them, you will fail. I actually knew this a long time ago, so I never even thought about trying this approach (also known as the Marquis de Sade school of scorched-earth management). Managers who try to manage through fear engender the hostility of their staff, and hostile staff love to see their manager fail. You must manage your own frustrations and anger (see point 1).
3) You have to be humble. An old saying goes something like "Humility means never getting a door slammed in your face... or ON your face". New Zealand culture is still quite egalitarian and particularly values humility. Arrogant managers will lose the support of their staff, and fail. Humble managers, managers who freely admit that they don't know something and defer to the staff who do, will win the support of their staff. You must admit it when you make a mistake. If mistakes are out in the open, then they can be fixed.
4) You must listen to your staff. Most of the time they know what they are talking about, and most of them will know how to do at least one thing better than you. Apart from the fact that listening is the nice, polite thing to do, it also lets you know who you can delegate particular tasks to.
5) You must lead from the front whenever you can. Anyone can tell others what to do, but if you want to be respected as a manager, you must show that you can do it too.
6) You must explain why you want someone to do something. If you are giving someone a task, then you must tell them why the task must be done, why you are giving it to them, and suggest how you think it could be done. If I tell my young daughter to do something "because I say so", she won't do it. If it doesn't work on a child, why would it work on an intelligent adult?
I'm sure I'll learn more about management as time goes by, and I'll share what I learn.
Monday, November 26, 2012
Paper submission deadline: ISNN 2013
The deadline for submitting papers to the International Symposium on Neural Networks (ISNN) 2013 is December 15, 2012. This symposium will be held in Dalian, China, July 4-6, 2013.
Subscribe to:
Posts (Atom)
Posts
