Tuesday, June 16, 2015
Deadline extension IEEE SSCI 2015
The deadline for submitting papers to the IEEE Symposium Series on Computational Intelligence (IEEE SSCI) 2015 has been extended to July 14, 2015. No further extensions will be possible. This conference will be held in Cape Town, South Africa, December 7-10, 2015.
Friday, June 12, 2015
Reminder: conference paper deadline for TAAI 2015
A reminder that the deadline for submitting papers to the 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2015) is July 12, 2015. This conference will be held in Tainan, Taiwan, November 20-22, 2015.
Wednesday, June 10, 2015
Reminder: conference paper deadline for BESC 2015
A reminder that the paper submission deadline for Behavioral, Economic and Socio-Cultural Computing (BESC) 2015 is 17 June, 2015. This conference will be held in Nanjing, China, 30 October - 1 November, 2015.
Monday, June 8, 2015
Reminder: conference paper deadline for ICICIP 2015
A reminder that the deadline for submitting paper to the Sixth International Conference on Intelligent Control and Information Processing (ICICIP) 2015 is June 15, 2015. This conference will be held in Wuhan, China, November 26-28, 2015.
Sunday, June 7, 2015
Reminder: paper submission deadline: IEEE SSCI 2015
A reminder that the deadline for submitting papers to the IEEE Symposium Series on Computational Intelligence (IEEE SSCI) 2015 is June 14, 2015. This conference will be held in Cape Town, South Africa, December 7-10, 2015.
Friday, June 5, 2015
Reminder: submission deadline for SMAP 2015
A reminder that the paper submission deadline for the 10th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP) 2015 is June 12, 2015. This conference will be held in Trento, Italy, November 5-6, 2015.
Thursday, June 4, 2015
Neural Networks, Volume 68, Pages 1-110, August 2015
1. Periodic solution for state-dependent impulsive shunting inhibitory CNNs with time-varying delays
Author(s): Mustafa Saylı, Enes Yılmaz
Pages: 1-11
2. Discontinuous Lyapunov approach to state estimation and filtering of jumped systems with sampled-data
Author(s): Xiaoyang Liu, Wenwu Yu, Jinde Cao, Shun Chen
Pages: 12-22
3. Computer aided diagnosis of schizophrenia on resting state fMRI data by ensembles of ELM
Author(s): Darya Chyzhyk, Alexandre Savio, Manuel Grana
Pages: 23-33
4. Almost periodic solutions for a memristor-based neural networks with leakage, time-varying and distributed delays
Author(s): Ping Jiang, Zhigang Zeng, Jiejie Chen
Pages: 34-45
5. Set selection dynamical system neural networks with partial memories, with applications to Sudoku and KenKen puzzles
Author(s): B. Boreland, G. Clement, H. Kunze
Pages: 46-51
6. Multistability in a class of stochastic delayed Hopfield neural networks
Author(s): Wu-Hua Chen, Shixian Luo, Xiaomei Lu
Pages: 52-61
7. Analysis of connectivity in NeuCube spiking neural network models trained on EEG data for the understanding of functional changes in the brain: A case study on opiate dependence treatment
Author(s): Elisa Capecci, Nikola Kasabov, Grace Y. Wang
Pages: 62-77
8. Global asymptotical image -periodicity of a fractional-order non-autonomous neural networks
Author(s): Boshan Chen, Jiejie Chen
Pages: 78-88
9. The transfer function of neuron spike
Author(s): Igor Palmieri, Luiz H.A. Monteiro, Maria D. Miranda
Pages: 89-95
10. Periodic synchronization control of discontinuous delayed networks by using extended Filippov-framework
Author(s): Zuowei Cai, Lihong Huang, Zhenyuan Guo, Lingling Zhang, Xuting Wan
Pages: 96-110
Author(s): Mustafa Saylı, Enes Yılmaz
Pages: 1-11
2. Discontinuous Lyapunov approach to state estimation and filtering of jumped systems with sampled-data
Author(s): Xiaoyang Liu, Wenwu Yu, Jinde Cao, Shun Chen
Pages: 12-22
3. Computer aided diagnosis of schizophrenia on resting state fMRI data by ensembles of ELM
Author(s): Darya Chyzhyk, Alexandre Savio, Manuel Grana
Pages: 23-33
4. Almost periodic solutions for a memristor-based neural networks with leakage, time-varying and distributed delays
Author(s): Ping Jiang, Zhigang Zeng, Jiejie Chen
Pages: 34-45
5. Set selection dynamical system neural networks with partial memories, with applications to Sudoku and KenKen puzzles
Author(s): B. Boreland, G. Clement, H. Kunze
Pages: 46-51
6. Multistability in a class of stochastic delayed Hopfield neural networks
Author(s): Wu-Hua Chen, Shixian Luo, Xiaomei Lu
Pages: 52-61
7. Analysis of connectivity in NeuCube spiking neural network models trained on EEG data for the understanding of functional changes in the brain: A case study on opiate dependence treatment
Author(s): Elisa Capecci, Nikola Kasabov, Grace Y. Wang
Pages: 62-77
8. Global asymptotical image -periodicity of a fractional-order non-autonomous neural networks
Author(s): Boshan Chen, Jiejie Chen
Pages: 78-88
9. The transfer function of neuron spike
Author(s): Igor Palmieri, Luiz H.A. Monteiro, Maria D. Miranda
Pages: 89-95
10. Periodic synchronization control of discontinuous delayed networks by using extended Filippov-framework
Author(s): Zuowei Cai, Lihong Huang, Zhenyuan Guo, Lingling Zhang, Xuting Wan
Pages: 96-110
Tuesday, June 2, 2015
IEEE Transactions on Evolutionary Computation, Volume 19, Number 3, June 2015
1. Automatic Design of a Hyper-Heuristic Framework With Gene Expression Programming for Combinatorial Optimization Problems
Author(s): Sabar, N.R.; Ayob, M.; Kendall, G.; Qu, R.
Page(s): 309 - 325
2. Semantic Backpropagation for Designing Search Operators in Genetic Programming
Author(s): Pawlak, T.P.; Wieloch, B.; Krawiec, K.
Page(s): 326 - 340
3. Tuning Optimization Algorithms Under Multiple Objective Function Evaluation Budgets
Author(s): Dymond, A.S.; Engelbrecht, A.P.; Kok, S.; Heyns, P.S.
Page(s): 341 - 358
4. Analysis of Cartesian Genetic Programming’s Evolutionary Mechanisms
Author(s): Goldman, B.W.; Punch, W.F.
Page(s): 359 - 373
5. An Effective Method for Evolving Reaction Networks in Synthetic Biochemical Systems
Author(s): Dinh, H.Q.; Aubert, N.; Noman, N.; Fujii, T.; Rondelez, Y.; Iba, H.
Page(s): 374 - 386
6. Social Networks and Asset Price Dynamics
Author(s): Yeh, C.; Yang, C.
Page(s): 387 - 399
7. An Algorithm for Many-Objective Optimization With Reduced Objective Computations: A Study in Differential Evolution
Author(s): Bandyopadhyay, S.; Mukherjee, A.
Page(s): 400 - 413
8. Locating Multiple Optimal Solutions of Nonlinear Equation Systems Based on Multiobjective Optimization
Author(s): Song, W.; Wang, Y.; Li, H.; Cai, Z.
Page(s): 414 - 431
9. Evolutionary Approach to Approximate Digital Circuits Design
Author(s): Vasicek, Z.; Sekanina, L.
Page(s): 432 - 444
10. A Decomposition-Based Evolutionary Algorithm for Many Objective Optimization
Author(s): Asafuddoula, M.; Ray, T.; Sarker, R.
Page(s): 445 - 460
Author(s): Sabar, N.R.; Ayob, M.; Kendall, G.; Qu, R.
Page(s): 309 - 325
2. Semantic Backpropagation for Designing Search Operators in Genetic Programming
Author(s): Pawlak, T.P.; Wieloch, B.; Krawiec, K.
Page(s): 326 - 340
3. Tuning Optimization Algorithms Under Multiple Objective Function Evaluation Budgets
Author(s): Dymond, A.S.; Engelbrecht, A.P.; Kok, S.; Heyns, P.S.
Page(s): 341 - 358
4. Analysis of Cartesian Genetic Programming’s Evolutionary Mechanisms
Author(s): Goldman, B.W.; Punch, W.F.
Page(s): 359 - 373
5. An Effective Method for Evolving Reaction Networks in Synthetic Biochemical Systems
Author(s): Dinh, H.Q.; Aubert, N.; Noman, N.; Fujii, T.; Rondelez, Y.; Iba, H.
Page(s): 374 - 386
6. Social Networks and Asset Price Dynamics
Author(s): Yeh, C.; Yang, C.
Page(s): 387 - 399
7. An Algorithm for Many-Objective Optimization With Reduced Objective Computations: A Study in Differential Evolution
Author(s): Bandyopadhyay, S.; Mukherjee, A.
Page(s): 400 - 413
8. Locating Multiple Optimal Solutions of Nonlinear Equation Systems Based on Multiobjective Optimization
Author(s): Song, W.; Wang, Y.; Li, H.; Cai, Z.
Page(s): 414 - 431
9. Evolutionary Approach to Approximate Digital Circuits Design
Author(s): Vasicek, Z.; Sekanina, L.
Page(s): 432 - 444
10. A Decomposition-Based Evolutionary Algorithm for Many Objective Optimization
Author(s): Asafuddoula, M.; Ray, T.; Sarker, R.
Page(s): 445 - 460
IEEE Transactions on Fuzzy Systems, Volume 23, Issue 3, June 2015
1. Fuzzy Robust Control for an Uncertain Switched Dual-Channel Closed-Loop Supply Chain Model
Author(s): Zhang, S.; Zhao, X.
Page(s): 485 - 500
2. Decentralized Adaptive Fuzzy Tracking Control for Robot Finger Dynamics
Author(s): Zhou, Q.; Li, H.; Shi, P.
Page(s): 501 - 510
3. Two-Step Stability Analysis for General Polynomial-Fuzzy-Model-Based Control Systems
Author(s): Lam, H.K.; Wu, L.; Lam, J.
Page(s): 511 - 524
4. A Robust $H_{infty}$ Non-PDC Design Scheme for Singularly Perturbed T–S Fuzzy Systems With Immeasurable State Variables
Author(s): Asemani, M.H.; Majd, V.J.
Page(s): 525 - 541
5. Atanassov's Interval-Valued Intuitionistic Linguistic Multicriteria Group Decision-Making Method Based on the Trapezium Cloud Model
Author(s): Wang, J.; Wang, P.; Wang, J.; Zhang, H.; Chen, X.
Page(s): 542 - 554
6. Fuzzy Approximation-Based Adaptive Backstepping Control of an Exoskeleton for Human Upper Limbs
Author(s): Li, Z.; Su, C.; Li, G.; Su, H.
Page(s): 555 - 566
7. Fuzzy-Model-Based Quantized Guaranteed Cost Control of Nonlinear Networked Systems
Author(s): Lu, R.; Cheng, H.; Bai, J.
Page(s): 567 - 575
8. Using Data Merging Techniques for Generating Multidocument Summarizations
Author(s): Van Britsom, D.; Bronselaer, A.; De Tre, G.
Page(s): 576 - 592
9. $H_infty$ Fuzzy Control for a Class of Nonlinear Coupled ODE-PDE Systems With Input Constraint
Author(s): Wu, H.; Zhu, H.; Wang, J.
Page(s): 593 - 604
10. Decentralized Robust Fuzzy Adaptive Control of Humanoid Robot Manipulation With Unknown Actuator Backlash
Author(s): Liu, Z.; Chen, C.; Zhang, Y.
Page(s): 605 - 616
11. Approximating Arbitrary Fuzzy Subsets by Extensional Ones
Author(s): Mattioli, G.; Recasens, J.
Page(s): 617 - 626
12. An Efficient LS-SVM-Based Method for Fuzzy System Construction
Author(s): Zhao, W.; Zhang, J.; Li, K.
Page(s): 627 - 643
13. Design and Experimental Implementation of DTC of an Induction Machine Based on Fuzzy Logic Control on FPGA
Author(s): Gdaim, S.; Mtibaa, A.; Mimouni, M.F.
Page(s): 644 - 655
14. Fuzzy Portfolio Allocation Models Through a New Risk Measure and Fuzzy Sharpe Ratio
Author(s): Nguyen, T.T.; Gordon-Brown, L.; Khosravi, A.; Creighton, D.; Nahavandi, S.
Page(s): 656 - 676
15. Obstacle Avoidance Method for Wheeled Mobile Robots Using Interval Type-2 Fuzzy Neural Network
Author(s): Kim, C.; Chwa, D.
Page(s): 677 - 687
16. Evolving Fuzzy Rules for Anomaly Detection in Data Streams
Author(s): Moshtaghi, M.; Bezdek, J.C.; Leckie, C.; Karunasekera, S.; Palaniswami, M.
Page(s): 688 - 700
17. A New Fuzzy Clustering Validity Index With a Median Factor for Centroid-Based Clustering
Author(s): Wu, C.; Ouyang, C.; Chen, L.; Lu, L.
Page(s): 701 - 718
18. Filter Design for Interval Type-2 Fuzzy Systems With D Stability Constraints Under a Unified Frame
Author(s): Li, H.; Pan, Y.; Zhou, Q.
Page(s): 719 - 725
Author(s): Zhang, S.; Zhao, X.
Page(s): 485 - 500
2. Decentralized Adaptive Fuzzy Tracking Control for Robot Finger Dynamics
Author(s): Zhou, Q.; Li, H.; Shi, P.
Page(s): 501 - 510
3. Two-Step Stability Analysis for General Polynomial-Fuzzy-Model-Based Control Systems
Author(s): Lam, H.K.; Wu, L.; Lam, J.
Page(s): 511 - 524
4. A Robust $H_{infty}$ Non-PDC Design Scheme for Singularly Perturbed T–S Fuzzy Systems With Immeasurable State Variables
Author(s): Asemani, M.H.; Majd, V.J.
Page(s): 525 - 541
5. Atanassov's Interval-Valued Intuitionistic Linguistic Multicriteria Group Decision-Making Method Based on the Trapezium Cloud Model
Author(s): Wang, J.; Wang, P.; Wang, J.; Zhang, H.; Chen, X.
Page(s): 542 - 554
6. Fuzzy Approximation-Based Adaptive Backstepping Control of an Exoskeleton for Human Upper Limbs
Author(s): Li, Z.; Su, C.; Li, G.; Su, H.
Page(s): 555 - 566
7. Fuzzy-Model-Based Quantized Guaranteed Cost Control of Nonlinear Networked Systems
Author(s): Lu, R.; Cheng, H.; Bai, J.
Page(s): 567 - 575
8. Using Data Merging Techniques for Generating Multidocument Summarizations
Author(s): Van Britsom, D.; Bronselaer, A.; De Tre, G.
Page(s): 576 - 592
9. $H_infty$ Fuzzy Control for a Class of Nonlinear Coupled ODE-PDE Systems With Input Constraint
Author(s): Wu, H.; Zhu, H.; Wang, J.
Page(s): 593 - 604
10. Decentralized Robust Fuzzy Adaptive Control of Humanoid Robot Manipulation With Unknown Actuator Backlash
Author(s): Liu, Z.; Chen, C.; Zhang, Y.
Page(s): 605 - 616
11. Approximating Arbitrary Fuzzy Subsets by Extensional Ones
Author(s): Mattioli, G.; Recasens, J.
Page(s): 617 - 626
12. An Efficient LS-SVM-Based Method for Fuzzy System Construction
Author(s): Zhao, W.; Zhang, J.; Li, K.
Page(s): 627 - 643
13. Design and Experimental Implementation of DTC of an Induction Machine Based on Fuzzy Logic Control on FPGA
Author(s): Gdaim, S.; Mtibaa, A.; Mimouni, M.F.
Page(s): 644 - 655
14. Fuzzy Portfolio Allocation Models Through a New Risk Measure and Fuzzy Sharpe Ratio
Author(s): Nguyen, T.T.; Gordon-Brown, L.; Khosravi, A.; Creighton, D.; Nahavandi, S.
Page(s): 656 - 676
15. Obstacle Avoidance Method for Wheeled Mobile Robots Using Interval Type-2 Fuzzy Neural Network
Author(s): Kim, C.; Chwa, D.
Page(s): 677 - 687
16. Evolving Fuzzy Rules for Anomaly Detection in Data Streams
Author(s): Moshtaghi, M.; Bezdek, J.C.; Leckie, C.; Karunasekera, S.; Palaniswami, M.
Page(s): 688 - 700
17. A New Fuzzy Clustering Validity Index With a Median Factor for Centroid-Based Clustering
Author(s): Wu, C.; Ouyang, C.; Chen, L.; Lu, L.
Page(s): 701 - 718
18. Filter Design for Interval Type-2 Fuzzy Systems With D Stability Constraints Under a Unified Frame
Author(s): Li, H.; Pan, Y.; Zhou, Q.
Page(s): 719 - 725
Friday, May 29, 2015
Conference paper deadline: DSAA 2015
The deadline for submitting papers to the 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA 2015) is 31 May, 2015. This conference will be held in Paris, France, 19-21 October, 2015.
Monday, May 25, 2015
IEEE Transactions on Neural Networks and Learning Systems, Volume 26, Number 6, June 2015
1. On Recursive Edit Distance Kernels With Application to Time Series Classification
Author(s): Marteau, P. ; Gibet, S.
Page(s): 1121 - 1133
2. Generalized Multiple Kernel Learning With Data-Dependent Priors
Author(s): Mao, Q. ; Tsang, I.W. ; Gao, S. ; Wang, L.
Page(s): 1134 - 1148
3. A Two-Layer Recurrent Neural Network for Nonsmooth Convex Optimization Problems
Author(s): Qin, S. ; Xue, X.
Page(s): 1149 - 1160
4. Generalized Single-Hidden Layer Feedforward Networks for Regression Problems
Author(s): Wang, N. ; Er, M.J. ; Han, M.
Page(s): 1161 - 1176
5. Optimization of a Multilayer Neural Network by Using Minimal Redundancy Maximal Relevance-Partial Mutual Information Clustering With Least Square Regression
Author(s): Chen, C. ; Yan, X.
Page(s): 1177 - 1187
6. Output-Feedback Adaptive Neural Control for Stochastic Nonlinear Time-Varying Delay Systems With Unknown Control Directions
Author(s): Li, T. ; Li, Z. ; Wang, D. ; Chen, C.L.P.
Page(s): 1188 - 1201
7. Memristor-Based Cellular Nonlinear/Neural Network: Design, Analysis, and Applications
Author(s): Duan, S. ; Hu, X. ; Dong, Z. ; Wang, L. ; Mazumder, P.
Page(s): 1202 - 1213
8. Synchronization of Chaotic Lur’e Systems With Time Delays Using Sampled-Data Control
Author(s): Hua, C. ; Ge, C. ; Guan, X.
Page(s): 1214 - 1221
9. Kernel Reconstruction ICA for Sparse Representation
Author(s): Xiao, Y. ; Zhu, Z. ; Zhao, Y. ; Wei, Y. ; Wei, S.
Page(s): 1222 - 1232
10. Partially Shared Latent Factor Learning With Multiview Data
Author(s): Liu, J. ; Jiang, Y. ; Li, Z. ; Zhou, Z. ; Lu, H.
Page(s): 1233 - 1246
11. Learning From Adaptive Neural Dynamic Surface Control of Strict-Feedback Systems
Author(s): Wang, M. ; Wang, C.
Page(s): 1247 - 1259
12. Complex Support Vector Machines for Regression and Quaternary Classification
Author(s): Bouboulis, P. ; Theodoridis, S. ; Mavroforakis, C. ; Evaggelatou-Dalla, L.
Page(s): 1260 - 1274
13. Blind Image Quality Assessment via Deep Learning
Author(s): Hou, W. ; Gao, X. ; Tao, D. ; Li, X.
Page(s): 1275 - 1286
14. Discriminative Embedded Clustering: A Framework for Grouping High-Dimensional Data
Author(s): Hou, C. ; Nie, F. ; Yi, D. ; Tao, D.
Page(s): 1287 - 1299
15. Global Exponential Synchronization of Multiple Memristive Neural Networks With Time Delay via Nonlinear Coupling
Author(s): Guo, Z. ; Yang, S. ; Wang, J.
Page(s): 1300 - 1311
16. A Direct Self-Constructing Neural Controller Design for a Class of Nonlinear Systems
Author(s): Han, H. ; Zhou, W. ; Qiao, J. ; Feng, G.
Page(s): 1312 - 1322
17. Error Bounds of Adaptive Dynamic Programming Algorithms for Solving Undiscounted Optimal Control Problems
Author(s): Liu, D. ; Li, H. ; Wang, D.
Page(s): 1323 - 1334
18. Further Result on Guaranteed H_\infty Performance State Estimation of Delayed Static Neural Networks
Author(s): Huang, H. ; Huang, T. ; Chen, X.
Page(s): 1335 - 1341
19. Randomized Gradient-Free Method for Multiagent Optimization Over Time-Varying Networks
Author(s): Yuan, D. ; Ho, D.W.C.
Page(s): 1342 - 1347
Author(s): Marteau, P. ; Gibet, S.
Page(s): 1121 - 1133
2. Generalized Multiple Kernel Learning With Data-Dependent Priors
Author(s): Mao, Q. ; Tsang, I.W. ; Gao, S. ; Wang, L.
Page(s): 1134 - 1148
3. A Two-Layer Recurrent Neural Network for Nonsmooth Convex Optimization Problems
Author(s): Qin, S. ; Xue, X.
Page(s): 1149 - 1160
4. Generalized Single-Hidden Layer Feedforward Networks for Regression Problems
Author(s): Wang, N. ; Er, M.J. ; Han, M.
Page(s): 1161 - 1176
5. Optimization of a Multilayer Neural Network by Using Minimal Redundancy Maximal Relevance-Partial Mutual Information Clustering With Least Square Regression
Author(s): Chen, C. ; Yan, X.
Page(s): 1177 - 1187
6. Output-Feedback Adaptive Neural Control for Stochastic Nonlinear Time-Varying Delay Systems With Unknown Control Directions
Author(s): Li, T. ; Li, Z. ; Wang, D. ; Chen, C.L.P.
Page(s): 1188 - 1201
7. Memristor-Based Cellular Nonlinear/Neural Network: Design, Analysis, and Applications
Author(s): Duan, S. ; Hu, X. ; Dong, Z. ; Wang, L. ; Mazumder, P.
Page(s): 1202 - 1213
8. Synchronization of Chaotic Lur’e Systems With Time Delays Using Sampled-Data Control
Author(s): Hua, C. ; Ge, C. ; Guan, X.
Page(s): 1214 - 1221
9. Kernel Reconstruction ICA for Sparse Representation
Author(s): Xiao, Y. ; Zhu, Z. ; Zhao, Y. ; Wei, Y. ; Wei, S.
Page(s): 1222 - 1232
10. Partially Shared Latent Factor Learning With Multiview Data
Author(s): Liu, J. ; Jiang, Y. ; Li, Z. ; Zhou, Z. ; Lu, H.
Page(s): 1233 - 1246
11. Learning From Adaptive Neural Dynamic Surface Control of Strict-Feedback Systems
Author(s): Wang, M. ; Wang, C.
Page(s): 1247 - 1259
12. Complex Support Vector Machines for Regression and Quaternary Classification
Author(s): Bouboulis, P. ; Theodoridis, S. ; Mavroforakis, C. ; Evaggelatou-Dalla, L.
Page(s): 1260 - 1274
13. Blind Image Quality Assessment via Deep Learning
Author(s): Hou, W. ; Gao, X. ; Tao, D. ; Li, X.
Page(s): 1275 - 1286
14. Discriminative Embedded Clustering: A Framework for Grouping High-Dimensional Data
Author(s): Hou, C. ; Nie, F. ; Yi, D. ; Tao, D.
Page(s): 1287 - 1299
15. Global Exponential Synchronization of Multiple Memristive Neural Networks With Time Delay via Nonlinear Coupling
Author(s): Guo, Z. ; Yang, S. ; Wang, J.
Page(s): 1300 - 1311
16. A Direct Self-Constructing Neural Controller Design for a Class of Nonlinear Systems
Author(s): Han, H. ; Zhou, W. ; Qiao, J. ; Feng, G.
Page(s): 1312 - 1322
17. Error Bounds of Adaptive Dynamic Programming Algorithms for Solving Undiscounted Optimal Control Problems
Author(s): Liu, D. ; Li, H. ; Wang, D.
Page(s): 1323 - 1334
18. Further Result on Guaranteed H_\infty Performance State Estimation of Delayed Static Neural Networks
Author(s): Huang, H. ; Huang, T. ; Chen, X.
Page(s): 1335 - 1341
19. Randomized Gradient-Free Method for Multiagent Optimization Over Time-Varying Networks
Author(s): Yuan, D. ; Ho, D.W.C.
Page(s): 1342 - 1347
Friday, May 22, 2015
Evolving Systems, Volume 6 Number 2. Special Issue: Adaptive and online learning in non-stationary environments
1. Adaptive and on-line learning in non-stationary environments
Author(s): Edwin Lughofer & Moamar Sayed-Mouchaweh
Pages: 75-77
2. Affect detection from non-stationary physiological data using ensemble classifiers
Author(s): Omar AlZoubi, Davide Fossati, Sidney D’Mello & Rafael A. Calvo
Pages: 79-92
3. Penalized ensemble feature selection methods for hidden associations in time series environments case study: equities companies in Saudi Stock Exchange Market
Author(s): Adel Aloraini
Pages: 93-100
4. On-line incremental learning for unknown conditions during assembly operations with industrial robots
Author(s): J. L. Navarro-Gonzalez, I. Lopez-Juarez, K. Ordaz-Hernandez & R. Rios-Cabrera
Pages: 101-114
5. Hybrid dynamic data-driven approach for drift-like fault detection in wind turbines
Author(s): Houari Toubakh & Moamar Sayed-Mouchaweh
Pages: 115-129
6. On-line learning with minimized change of the global mapping
Author(s): Andreas Buschermöhle & Werner Brockmann
Pages: 131-151
Author(s): Edwin Lughofer & Moamar Sayed-Mouchaweh
Pages: 75-77
2. Affect detection from non-stationary physiological data using ensemble classifiers
Author(s): Omar AlZoubi, Davide Fossati, Sidney D’Mello & Rafael A. Calvo
Pages: 79-92
3. Penalized ensemble feature selection methods for hidden associations in time series environments case study: equities companies in Saudi Stock Exchange Market
Author(s): Adel Aloraini
Pages: 93-100
4. On-line incremental learning for unknown conditions during assembly operations with industrial robots
Author(s): J. L. Navarro-Gonzalez, I. Lopez-Juarez, K. Ordaz-Hernandez & R. Rios-Cabrera
Pages: 101-114
5. Hybrid dynamic data-driven approach for drift-like fault detection in wind turbines
Author(s): Houari Toubakh & Moamar Sayed-Mouchaweh
Pages: 115-129
6. On-line learning with minimized change of the global mapping
Author(s): Andreas Buschermöhle & Werner Brockmann
Pages: 131-151
Thursday, May 21, 2015
Neural Networks Volume 67, Pages 1-154, July 2015
1. A spiking neural network based on the basal ganglia functional anatomy
Pages: 1-13
Author(s): Javier Baladron, Fred H. Hamker
2. Further analysis of global image -stability of complex-valued neural networks with unbounded time-varying delays
Pages: 14-27
Author(s): G. Velmurugan, R. Rakkiyappan, Jinde Cao
3. Neural network operators: Constructive interpolation of multivariate functions
Pages: 28-36
Author(s): Danilo Costarelli
4. Modelling the insect Mushroom Bodies: Application to sequence learning
Pages: 37-53
Author(s): Paolo Arena, Marco Cali, Luca Patane, Agnese Portera, Roland Strauss
5. Biomimetic race model of the loop between the superior colliculus and the basal ganglia: Subcortical selection of saccade targets
Pages: 54-73
Author(s): Charles Thurat, Steve N’Guyen, Benoit Girard
6. A bio-inspired stimulator to desynchronize epileptic cortical population models: A digital implementation framework
Pages: 74-83
Author(s): Mohsen Piri, Masoud Amiri, Mahmood Amiri
7. Robust stability of stochastic fuzzy delayed neural networks with impulsive time window
Pages: 84-91
Author(s): Xin Wang, Junzhi Yu, Chuandong Li, Hui Wang, Tingwen Huang, Junjian Huang
8. Adaptive intermittent control: A computational model explaining motor intermittency observed in human behavior
Pages: 92-109
Author(s): Yutaka Sakaguchi, Masato Tanaka, Yasuyuki Inoue
9. Construction and evaluation of an integrated dynamical model of visual motion perception
Pages: 110-120
Author(s): Emilien Tlapale, Barbara Anne Dosher, Zhong-Lin Lu
10. A biological mechanism for Bayesian feature selection: Weight decay and raising the LASSO
Pages: 121-130
Author(s): Patrick Connor, Paul Hollensen, Olav Krigolson, Thomas Trappenberg
11. Low-dimensional recurrent neural network-based Kalman filter for speech enhancement
Pages: 131-139
Author(s): Youshen Xia, Jun Wang
12. Incremental learning for image -Support Vector Regression
Pages: 140-150
Author(s): Bin Gu, Victor S. Sheng, Zhijie Wang, Derek Ho, Said Osman, Shuo Li
13. Corrigendum to "Feedback associative memory based on a new hybrid model of generalized regression and self feedback neural networks" [Neural Netw. 23(7) (2010) 892–904]
Pages: 151
Author(s): Mahmood Amiri
14. Corrigendum to "Projective synchronization for fractional neural networks"
Pages: 152-154
Author(s): Juan Yu, Cheng Hu, Haijun Jiang
Pages: 1-13
Author(s): Javier Baladron, Fred H. Hamker
2. Further analysis of global image -stability of complex-valued neural networks with unbounded time-varying delays
Pages: 14-27
Author(s): G. Velmurugan, R. Rakkiyappan, Jinde Cao
3. Neural network operators: Constructive interpolation of multivariate functions
Pages: 28-36
Author(s): Danilo Costarelli
4. Modelling the insect Mushroom Bodies: Application to sequence learning
Pages: 37-53
Author(s): Paolo Arena, Marco Cali, Luca Patane, Agnese Portera, Roland Strauss
5. Biomimetic race model of the loop between the superior colliculus and the basal ganglia: Subcortical selection of saccade targets
Pages: 54-73
Author(s): Charles Thurat, Steve N’Guyen, Benoit Girard
6. A bio-inspired stimulator to desynchronize epileptic cortical population models: A digital implementation framework
Pages: 74-83
Author(s): Mohsen Piri, Masoud Amiri, Mahmood Amiri
7. Robust stability of stochastic fuzzy delayed neural networks with impulsive time window
Pages: 84-91
Author(s): Xin Wang, Junzhi Yu, Chuandong Li, Hui Wang, Tingwen Huang, Junjian Huang
8. Adaptive intermittent control: A computational model explaining motor intermittency observed in human behavior
Pages: 92-109
Author(s): Yutaka Sakaguchi, Masato Tanaka, Yasuyuki Inoue
9. Construction and evaluation of an integrated dynamical model of visual motion perception
Pages: 110-120
Author(s): Emilien Tlapale, Barbara Anne Dosher, Zhong-Lin Lu
10. A biological mechanism for Bayesian feature selection: Weight decay and raising the LASSO
Pages: 121-130
Author(s): Patrick Connor, Paul Hollensen, Olav Krigolson, Thomas Trappenberg
11. Low-dimensional recurrent neural network-based Kalman filter for speech enhancement
Pages: 131-139
Author(s): Youshen Xia, Jun Wang
12. Incremental learning for image -Support Vector Regression
Pages: 140-150
Author(s): Bin Gu, Victor S. Sheng, Zhijie Wang, Derek Ho, Said Osman, Shuo Li
13. Corrigendum to "Feedback associative memory based on a new hybrid model of generalized regression and self feedback neural networks" [Neural Netw. 23(7) (2010) 892–904]
Pages: 151
Author(s): Mahmood Amiri
14. Corrigendum to "Projective synchronization for fractional neural networks"
Pages: 152-154
Author(s): Juan Yu, Cheng Hu, Haijun Jiang
Sunday, May 17, 2015
Reminder: conference paper deadline for BESC 2015
A reminder that the paper submission deadline for Behavioral, Economic and Socio-Cultural Computing (BESC) 2015 is 17 June, 2015. This conference will be held in Nanjing, China, 30 October - 1 November, 2015.
Friday, May 15, 2015
Reminder: conference paper deadline for ICICIP 2015
A reminder that the deadline for submitting paper to the Sixth International Conference on Intelligent Control and Information Processing (ICICIP) 2015 is June 15, 2015. This conference will be held in Wuhan, China, November 26-28, 2015.
Thursday, May 14, 2015
Reminder: paper submission deadline: IEEE SSCI 2015
A reminder that the deadline for submitting papers to the IEEE Symposium Series on Computational Intelligence (IEEE SSCI) 2015 is June 14, 2015. This conference will be held in Cape Town, South Africa, December 7-10, 2015.
Tuesday, May 12, 2015
Reminder: submission deadline for SMAP 2015
A reminder that the paper submission deadline for the 10th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP) 2015 is June 12, 2015. This conference will be held in Trento, Italy, November 5-6, 2015.
Monday, May 11, 2015
Reminder: conference paper deadline for DSAA'15
A reminder that the paper submission deadline for the IEEE International Conference on Data Science and Advanced Analytics (DSAA) 2015 is 18 May, 2015. This conference will be held in Paris, France, 19-21 October, 2015.
Friday, May 8, 2015
IEEE Transactions on Computational Intelligence and AI in Games, Volume 7, Number 1, March 2015
1. Editorial: IEEE Transactions on Computational Intelligence and AI in Games
Author(s): Kendall, G.
Page(s): 1 - 2
2. On Cost-Effective Incentive Mechanisms in Microtask Crowdsourcing
Author(s): Yang Gao, Yan Chen and Liu, K.J.R.
Page(s): 3 - 15
3. An Enhanced Solver for the Game of Amazons
Author(s): Jiaxing Song and Muller, M.
Page(s): 16 - 27
4. Job-Level Alpha-Beta Search
Author(s): Jr-Chang Chen, I-Chen Wu, Wen-Jie Tseng, Bo-Han Lin and Chia-Hui Chang
Page(s): 28 - 38
5. Suspenser: A Story Generation System for Suspense
Author(s): Yun-Gyung Cheong and Young, R.M.
Page(s): 39 - 52
6. Multiple Opponent Optimization of Prisoner’s Dilemma Playing Agents
Author(s): Ashlock, D., Brown, J.A. and Hingston, P.
Page(s): 53 - 65
7. Design and Implementation of Chinese Dark Chess Programs
Author(s): Shi-Jim Yen, Cheng-Wei Chou, Jr-Chang Chen, I-Chen Wu and Kuo-Yuan Kao
Page(s): 66 - 74
8. Learning Behaviors of and Interactions Among Objects Through Spatio–Temporal Reasoning
Author(s): Ersen, M. and Sariel, S.
Page(s): 75 - 87
9. Learning-Based Procedural Content Generation
Author(s): Roberts, J. and Ke Chen
Page(s): 88 - 101
10. Sequential Halving Applied to Trees
Author(s): Cazenave, T.
Page(s): 102 - 105
Author(s): Kendall, G.
Page(s): 1 - 2
2. On Cost-Effective Incentive Mechanisms in Microtask Crowdsourcing
Author(s): Yang Gao, Yan Chen and Liu, K.J.R.
Page(s): 3 - 15
3. An Enhanced Solver for the Game of Amazons
Author(s): Jiaxing Song and Muller, M.
Page(s): 16 - 27
4. Job-Level Alpha-Beta Search
Author(s): Jr-Chang Chen, I-Chen Wu, Wen-Jie Tseng, Bo-Han Lin and Chia-Hui Chang
Page(s): 28 - 38
5. Suspenser: A Story Generation System for Suspense
Author(s): Yun-Gyung Cheong and Young, R.M.
Page(s): 39 - 52
6. Multiple Opponent Optimization of Prisoner’s Dilemma Playing Agents
Author(s): Ashlock, D., Brown, J.A. and Hingston, P.
Page(s): 53 - 65
7. Design and Implementation of Chinese Dark Chess Programs
Author(s): Shi-Jim Yen, Cheng-Wei Chou, Jr-Chang Chen, I-Chen Wu and Kuo-Yuan Kao
Page(s): 66 - 74
8. Learning Behaviors of and Interactions Among Objects Through Spatio–Temporal Reasoning
Author(s): Ersen, M. and Sariel, S.
Page(s): 75 - 87
9. Learning-Based Procedural Content Generation
Author(s): Roberts, J. and Ke Chen
Page(s): 88 - 101
10. Sequential Halving Applied to Trees
Author(s): Cazenave, T.
Page(s): 102 - 105
IEEE Transactions on Fuzzy Systems, Volume 23, Issue 2, April 2015
REGULAR PAPERS
1. A Novel Risk Decision Making Based on Decision-Theoretic Rough Sets Under Hesitant Fuzzy Information
Author(s): D. Liang and D. Liu
Page(s): 237-247
2. From Interval-Valued Data to General Type-2 Fuzzy Sets
Author(s): C.Wagner, S. Miller, J. M. Garibaldi, D. T. Anderson, and T. C. Havens
Page(s): 248-269
3. Weighted Compensative Logic With Adjustable Threshold Andness and Orness
Author(s): J. Dujmovi´c
Page(s): 270-290
4. Analysis of the Fuzzy Controllability Property and Stabilization for a Class of T–S Fuzzy Models
Author(s): J. A.Meda-Campa˜na, J. Rodr´ıguez-Valdez, T. Hern´andez-Cort´es, R. Tapia-Herrera, and V. Nosov
Page(s): 291-301
5. Adaptive Fuzzy Backstepping Control for A Class of Nonlinear Systems With Sampled and Delayed Measurements
Author(s): T.Wang, Y. Zhang, J. Qiu, and H. Gao
Page(s): 302-312
6. Theta-Fuzzy Associative Memories (Theta-FAMs)
Author(s): E. Esmi, P. Sussner, H. Bustince, and J. Fern´andez
Page(s): 313-326
7. Simplifying the Search for Effective Ranking of Fuzzy Numbers
Author(s): A. I. Ban and L. Coroianu
Page(s): 327-339
8. Granular Risk-Based Design Optimization
Author(s): H. Hu and G. Li
Page(s): 340-353
9. Consensus Building in a Local Context for the AHP-GDMWith the Individual Numerical Scale and Prioritization Method
Author(s): Y. Dong, Z.-P. Fan, and S. Yu
Page(s): 354-368
10. pClass: An Effective Classifier for Streaming Examples
Author(s): M. Pratama, S. G. Anavatti, M. J. Er, and E. D. Lughofer
Page(s): 369-386
11. Pareto Optimal Filter Design for Nonlinear Stochastic Fuzzy Systems via Multiobjective H2/H∞ Optimization
Author(s): B.-S. Chen, H.-C. Lee, and C.-F. Wu
Page(s): 387-399
12. T2FS-Based Adaptive Linguistic Assessment System for Semantic Analysis and Human Performance Evaluation on Game of Go
Author(s): C.-S. Lee, M.-H. Wang, M.-J. Wu, O. Teytaud, and S.-J. Yen
Page(s): 400-420
13. Reliable State Feedback Control of T–S Fuzzy Systems With Sensor Faults
Author(s): J. Dong and G.-H. Yang
Page(s): 421-433
14. On the State Minimization of Fuzzy Automata
Author(s): L. Li and D. Qiu
Page(s): 434-443
15. Divergence Measures for Intuitionistic Fuzzy Sets
Author(s): I.Montes, N. R. Pal, V. Janiˇs, and S. Montes
Page(s): 444-456
16. Interval Type-2 Radial Basis Function Neural Network: A Modeling Framework
Author(s): A. Rubio-Solis and G. Panoutsos
Page(s): 457-473
SHORT PAPERS
17. A Two-Variable Fuzzy Control Design With Application to an Air-Conditioning System
Author(s): S. Yordanova, D. Merazchiev, and L. Jain
Page(s): 474-481
1. A Novel Risk Decision Making Based on Decision-Theoretic Rough Sets Under Hesitant Fuzzy Information
Author(s): D. Liang and D. Liu
Page(s): 237-247
2. From Interval-Valued Data to General Type-2 Fuzzy Sets
Author(s): C.Wagner, S. Miller, J. M. Garibaldi, D. T. Anderson, and T. C. Havens
Page(s): 248-269
3. Weighted Compensative Logic With Adjustable Threshold Andness and Orness
Author(s): J. Dujmovi´c
Page(s): 270-290
4. Analysis of the Fuzzy Controllability Property and Stabilization for a Class of T–S Fuzzy Models
Author(s): J. A.Meda-Campa˜na, J. Rodr´ıguez-Valdez, T. Hern´andez-Cort´es, R. Tapia-Herrera, and V. Nosov
Page(s): 291-301
5. Adaptive Fuzzy Backstepping Control for A Class of Nonlinear Systems With Sampled and Delayed Measurements
Author(s): T.Wang, Y. Zhang, J. Qiu, and H. Gao
Page(s): 302-312
6. Theta-Fuzzy Associative Memories (Theta-FAMs)
Author(s): E. Esmi, P. Sussner, H. Bustince, and J. Fern´andez
Page(s): 313-326
7. Simplifying the Search for Effective Ranking of Fuzzy Numbers
Author(s): A. I. Ban and L. Coroianu
Page(s): 327-339
8. Granular Risk-Based Design Optimization
Author(s): H. Hu and G. Li
Page(s): 340-353
9. Consensus Building in a Local Context for the AHP-GDMWith the Individual Numerical Scale and Prioritization Method
Author(s): Y. Dong, Z.-P. Fan, and S. Yu
Page(s): 354-368
10. pClass: An Effective Classifier for Streaming Examples
Author(s): M. Pratama, S. G. Anavatti, M. J. Er, and E. D. Lughofer
Page(s): 369-386
11. Pareto Optimal Filter Design for Nonlinear Stochastic Fuzzy Systems via Multiobjective H2/H∞ Optimization
Author(s): B.-S. Chen, H.-C. Lee, and C.-F. Wu
Page(s): 387-399
12. T2FS-Based Adaptive Linguistic Assessment System for Semantic Analysis and Human Performance Evaluation on Game of Go
Author(s): C.-S. Lee, M.-H. Wang, M.-J. Wu, O. Teytaud, and S.-J. Yen
Page(s): 400-420
13. Reliable State Feedback Control of T–S Fuzzy Systems With Sensor Faults
Author(s): J. Dong and G.-H. Yang
Page(s): 421-433
14. On the State Minimization of Fuzzy Automata
Author(s): L. Li and D. Qiu
Page(s): 434-443
15. Divergence Measures for Intuitionistic Fuzzy Sets
Author(s): I.Montes, N. R. Pal, V. Janiˇs, and S. Montes
Page(s): 444-456
16. Interval Type-2 Radial Basis Function Neural Network: A Modeling Framework
Author(s): A. Rubio-Solis and G. Panoutsos
Page(s): 457-473
SHORT PAPERS
17. A Two-Variable Fuzzy Control Design With Application to an Air-Conditioning System
Author(s): S. Yordanova, D. Merazchiev, and L. Jain
Page(s): 474-481
Reminder: paper submission deadline for ISNN 2015
A reminder that the paper submission deadline for the 12th International Symposium on Neural Networks (ISNN) 2015 is May 15, 2015. This conference will be held in Jeju, Korea, 15-18 October, 2015.
Wednesday, May 6, 2015
IEEE Transactions on Neural Networks and Learning Systems: Volume 26, Issue 5, May 2015
1. Self-Organizing Neural Networks Integrating Domain Knowledge and Reinforcement Learning
Author(s): Teck-Hou Teng; Ah-Hwee Tan; Jacek M. Zurada
Page(s): 889 - 902
2. Variable Neural Adaptive Robust Control: A Switched System Approach
Author(s): Jianming Lian; Jianghai Hu; Stanislaw H. Zak
Page(s): 903 - 915
3. Integral Reinforcement Learning for Continuous-Time Input-Affine Nonlinear Systems With Simultaneous Invariant Explorations
Author(s): Jae Young Lee; Jin Bae Park; Yoon Ho Choi
Page(s): 916 - 932
4. Evolutionary Fuzzy ARTMAP Neural Networks for Classification of Semiconductor Defects
Author(s): Shing Chiang Tan; Junzo Watada; Zuwairie Ibrahim; Marzuki Khalid
Page(s): 933 - 950
5. Graph Embedded Nonparametric Mutual Information for Supervised Dimensionality Reduction
Author(s): Dimitrios Bouzas; Nikolaos Arvanitopoulos; Anastasios Tefas
Page(s): 951 - 963
6. The Minimum Risk Principle That Underlies the Criteria of Bounded Component Analysis
Author(s): Sergio Cruces; Ivan Duran-Diaz
Page(s): 964 - 981
7. A One-Class Kernel Fisher Criterion for Outlier Detection
Author(s): Franck Dufrenois
Page(s): 982 - 994
8. Semi-Supervised Nearest Mean Classification Through a Constrained Log-Likelihood
Author(s): Marco Loog; Are Charles Jensen
Page(s): 995 - 1006
9. Adaptive NN Controller Design for a Class of Nonlinear MIMO Discrete-Time Systems
Author(s): Yan-Jun Liu; Li Tang; Shaocheng Tong; C. L. Philip Chen
Page(s): 1007 - 1018
10. Transfer Learning for Visual Categorization: A Survey
Author(s): Ling Shao; Fan Zhu; Xuelong Li
Page(s): 1019 - 1034
11. Robust Sensorimotor Representation to Physical Interaction Changes in Humanoid Motion Learning
Author(s): Toshihiko Shimizu; Ryo Saegusa; Shuhei Ikemoto; Hiroshi Ishiguro; Giorgio Metta
Page(s): 1035 - 1047
12. A New Method for Data Stream Mining Based on the Misclassification Error
Author(s): Leszek Rutkowski; Maciej Jaworski; Lena Pietruczuk; Piotr Duda
Page(s): 1048 - 1059
13. Learning to Track Multiple Targets
Author(s): Xiao Liu; Dacheng Tao; Mingli Song; Luming Zhang; Jiajun Bu; Chun Chen
Page(s): 1060 - 1073
14. Adaptive Neural Control of Nonlinear MIMO Systems With Time-Varying Output Constraints
Author(s): Wenchao Meng; Qinmin Yang; Youxian Sun
Page(s): 1074 - 1085
15. Very Sparse LSSVM Reductions for Large-Scale Data
Author(s): Raghvendra Mall; Johan A. K. Suykens
Page(s): 1086 - 1097
16. Sparse Multivariate Gaussian Mixture Regression
Author(s): Luis Weruaga; Javier Via
Page(s): 1098 - 1108
17. Variational Inference With ARD Prior for NIRS Diffuse Optical Tomography
Author(s): Atsushi Miyamoto; Kazuho Watanabe; Kazushi Ikeda; Masa-Aki Sato
Page(s): 1109 - 1114
18. An Efficient Topological Distance-Based Tree Kernel
Author(s): Fabio Aiolli; Giovanni Da San Martino; Alessandro Sperduti
Page(s): 1115 - 1120
Author(s): Teck-Hou Teng; Ah-Hwee Tan; Jacek M. Zurada
Page(s): 889 - 902
2. Variable Neural Adaptive Robust Control: A Switched System Approach
Author(s): Jianming Lian; Jianghai Hu; Stanislaw H. Zak
Page(s): 903 - 915
3. Integral Reinforcement Learning for Continuous-Time Input-Affine Nonlinear Systems With Simultaneous Invariant Explorations
Author(s): Jae Young Lee; Jin Bae Park; Yoon Ho Choi
Page(s): 916 - 932
4. Evolutionary Fuzzy ARTMAP Neural Networks for Classification of Semiconductor Defects
Author(s): Shing Chiang Tan; Junzo Watada; Zuwairie Ibrahim; Marzuki Khalid
Page(s): 933 - 950
5. Graph Embedded Nonparametric Mutual Information for Supervised Dimensionality Reduction
Author(s): Dimitrios Bouzas; Nikolaos Arvanitopoulos; Anastasios Tefas
Page(s): 951 - 963
6. The Minimum Risk Principle That Underlies the Criteria of Bounded Component Analysis
Author(s): Sergio Cruces; Ivan Duran-Diaz
Page(s): 964 - 981
7. A One-Class Kernel Fisher Criterion for Outlier Detection
Author(s): Franck Dufrenois
Page(s): 982 - 994
8. Semi-Supervised Nearest Mean Classification Through a Constrained Log-Likelihood
Author(s): Marco Loog; Are Charles Jensen
Page(s): 995 - 1006
9. Adaptive NN Controller Design for a Class of Nonlinear MIMO Discrete-Time Systems
Author(s): Yan-Jun Liu; Li Tang; Shaocheng Tong; C. L. Philip Chen
Page(s): 1007 - 1018
10. Transfer Learning for Visual Categorization: A Survey
Author(s): Ling Shao; Fan Zhu; Xuelong Li
Page(s): 1019 - 1034
11. Robust Sensorimotor Representation to Physical Interaction Changes in Humanoid Motion Learning
Author(s): Toshihiko Shimizu; Ryo Saegusa; Shuhei Ikemoto; Hiroshi Ishiguro; Giorgio Metta
Page(s): 1035 - 1047
12. A New Method for Data Stream Mining Based on the Misclassification Error
Author(s): Leszek Rutkowski; Maciej Jaworski; Lena Pietruczuk; Piotr Duda
Page(s): 1048 - 1059
13. Learning to Track Multiple Targets
Author(s): Xiao Liu; Dacheng Tao; Mingli Song; Luming Zhang; Jiajun Bu; Chun Chen
Page(s): 1060 - 1073
14. Adaptive Neural Control of Nonlinear MIMO Systems With Time-Varying Output Constraints
Author(s): Wenchao Meng; Qinmin Yang; Youxian Sun
Page(s): 1074 - 1085
15. Very Sparse LSSVM Reductions for Large-Scale Data
Author(s): Raghvendra Mall; Johan A. K. Suykens
Page(s): 1086 - 1097
16. Sparse Multivariate Gaussian Mixture Regression
Author(s): Luis Weruaga; Javier Via
Page(s): 1098 - 1108
17. Variational Inference With ARD Prior for NIRS Diffuse Optical Tomography
Author(s): Atsushi Miyamoto; Kazuho Watanabe; Kazushi Ikeda; Masa-Aki Sato
Page(s): 1109 - 1114
18. An Efficient Topological Distance-Based Tree Kernel
Author(s): Fabio Aiolli; Giovanni Da San Martino; Alessandro Sperduti
Page(s): 1115 - 1120
Wednesday, April 22, 2015
Neural Networks Volume 66, Pages 1-138, June 2015
1) Event-triggered asynchronous intermittent communication strategy for synchronization in complex dynamical networks
Pages: 1-10
Author(s): Huaqing Li, Xiaofeng Liao, Guo Chen, David J. Hill, Zhaoyang Dong, Tingwen Huang
2) Multilingual part-of-speech tagging with weightless neural networks
Pages: 11-21
Author(s): Hugo C.C. Carneiro, Felipe M.G. Franca, Priscila M.V. Lima
3) Hierarchical neural networks perform both serial and parallel processing
Pages: 22-35
Author(s): Elena Agliari, Adriano Barra, Andrea Galluzzi, Francesco Guerra, Daniele Tantari, Flavia Tavani
4) Diversifying customer review rankings
Pages: 36-45
Author(s): Ralf Krestel, Nima Dokoohaki
5) Stochastic sampled-data control for synchronization of complex dynamical networks with control packet loss and additive time-varying delays
Pages: 46-63
Author(s): R. Rakkiyappan, N. Sakthivel, Jinde Cao
6) Multi-frame image super resolution based on sparse coding
Pages: 64-78
Author(s): Toshiyuki Kato, Hideitsu Hino, Noboru Murata
7) A digital implementation of neuron–astrocyte interaction for neuromorphic applications
Pages: 79-90
Author(s): Soheila Nazari, Karim Faez, Mahmood Amiri, Ehsan Karami
8) Asynchronous event-based corner detection and matching
Pages: 91-106
Author(s): Xavier Clady, Sio-Hoi Ieng, Ryad Benosman
9) Phase synchronization of coupled bursting neurons and the generalized Kuramoto model
Pages: 107-118
Author(s): F.A.S. Ferrari, R.L. Viana, S.R. Lopes, R. Stoop
10) Global exponential periodicity and stability of discrete-time complex-valued recurrent neural networks with time-delays
Pages: 119-130
Author(s): Jin Hu, Jun Wang
11) A new delay-independent condition for global robust stability of neural networks with time delays
Pages: 131-137
Author(s): Ruya Samli
Pages: 1-10
Author(s): Huaqing Li, Xiaofeng Liao, Guo Chen, David J. Hill, Zhaoyang Dong, Tingwen Huang
2) Multilingual part-of-speech tagging with weightless neural networks
Pages: 11-21
Author(s): Hugo C.C. Carneiro, Felipe M.G. Franca, Priscila M.V. Lima
3) Hierarchical neural networks perform both serial and parallel processing
Pages: 22-35
Author(s): Elena Agliari, Adriano Barra, Andrea Galluzzi, Francesco Guerra, Daniele Tantari, Flavia Tavani
4) Diversifying customer review rankings
Pages: 36-45
Author(s): Ralf Krestel, Nima Dokoohaki
5) Stochastic sampled-data control for synchronization of complex dynamical networks with control packet loss and additive time-varying delays
Pages: 46-63
Author(s): R. Rakkiyappan, N. Sakthivel, Jinde Cao
6) Multi-frame image super resolution based on sparse coding
Pages: 64-78
Author(s): Toshiyuki Kato, Hideitsu Hino, Noboru Murata
7) A digital implementation of neuron–astrocyte interaction for neuromorphic applications
Pages: 79-90
Author(s): Soheila Nazari, Karim Faez, Mahmood Amiri, Ehsan Karami
8) Asynchronous event-based corner detection and matching
Pages: 91-106
Author(s): Xavier Clady, Sio-Hoi Ieng, Ryad Benosman
9) Phase synchronization of coupled bursting neurons and the generalized Kuramoto model
Pages: 107-118
Author(s): F.A.S. Ferrari, R.L. Viana, S.R. Lopes, R. Stoop
10) Global exponential periodicity and stability of discrete-time complex-valued recurrent neural networks with time-delays
Pages: 119-130
Author(s): Jin Hu, Jun Wang
11) A new delay-independent condition for global robust stability of neural networks with time delays
Pages: 131-137
Author(s): Ruya Samli
Tuesday, April 21, 2015
Reminder: paper submission deadline for ICSI3 2015
A reminder that the deadline for submitting papers to the International Congress on Systems Immunology, Immunoinformatics & Immune-Computation (ICSI3) 2015 is 28 April, 2015. This conference will be held in Taormina, Italy, 17-18 July, 2015.
Sunday, April 12, 2015
Paper submission deadline: ISNN 2015
The paper submission deadline for the 12th International Symposium on Neural Networks (ISNN) 2015 is May 15, 2015. This conference will be held in Jeju, Korea, 15-18 October, 2015.
Saturday, April 11, 2015
Conference paper deadline: TAAI 2015
The deadline for submitting papers to the 2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2015) is July 12, 2015. This conference will be held in Tainan, Taiwan, November 20-22, 2015.
Friday, April 10, 2015
Conference paper deadline: BESC 2015
The paper submission deadline for Behavioral, Economic and Socio-Cultural Computing (BESC) 2015 is 17 June, 2015. This conference will be held in Nanjing, China, 30 October - 1 November, 2015.
Thursday, April 9, 2015
Paper submission deadline: IEEE SSCI 2015
The deadline for submitting papers to the IEEE Symposium Series on Computational Intelligence (IEEE SSCI) 2015 is June 14, 2015. This conference will be held in Cape Town, South Africa, December 7-10, 2015.
Wednesday, April 8, 2015
Conference submission deadline SMAP 2015
The paper submission deadline for the 10th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP) 2015 is June 12, 2015. This conference will be held in Trento, Italy, November 5-6, 2015.
Tuesday, April 7, 2015
Conference paper deadline: DSAA'15
The paper submission deadline for the IEEE International Conference on Data Science and Advanced Analytics (DSAA) 2015 is 18 May, 2015. This conference will be held in Paris, France, 19-21 October, 2015.
Monday, April 6, 2015
Conference paper deadline: ICSI3 2015
The deadline for submitting papers to the International Congress on Systems Immunology, Immunoinformatics & Immune-Computation (ICSI3) 2015 is 28 April, 2015. This conference will be held in Taormina, Italy, 17-18 July, 2015.
Sunday, April 5, 2015
Conference paper deadline: ICICIP 2015
The deadline for submitting paper to the Sixth International Conference on Intelligent Control and Information Processing (ICICIP) 2015 is June 15, 2015. This conference will be held in Wuhan, China, November 26-28, 2015.
Friday, April 3, 2015
IEEE Transactions on Neural Networks and Learning Systems, Volume 26, Issue 4, April 2015
1. Fractional Extreme Value Adaptive Training Method: Fractional Steepest Descent Approach
Authors: Yi-Fei Pu; Ji-Liu Zhou; Yi Zhang; Ni Zhang; Guo Huang; Patrick Siarry
Page(s): 653 - 662
2. Quaternion-Valued Echo State Networks
Authors: Yili Xia; Cyrus Jahanchahi; Danilo P. Mandic
Page(s): 663 - 673
3. Successive Overrelaxation for Laplacian Support Vector Machine
Authors: Zhiquan Qi; Yingjie Tian; Yong Shi
Page(s): 674 - 683
4. Adaptive Optimal Control of Highly Dissipative Nonlinear Spatially Distributed Processes With Neuro-Dynamic Programming
Authors: Biao Luo; Huai-Ning Wu; Han-Xiong Li
Page(s): 684 - 696
5. Convolutive Bounded Component Analysis Algorithms for Independent and Dependent Source Separation
Authors: Huseyin A. Inan; Alper T. Erdogan
Page(s): 697 - 708
6. Gaussian Kernel Width Optimization for Sparse Bayesian Learning
Authors: Yalda Mohsenzadeh; Hamid Sheikhzadeh
Page(s): 709 - 719
7. Multiclass Semisupervised Learning Based Upon Kernel Spectral Clustering
Authors: Siamak Mehrkanoon; Carlos Alzate; Raghvendra Mall; Rocco Langone; Johan A. K. Suykens
Page(s): 720 - 733
8. Impulsive Stabilization and Impulsive Synchronization of Discrete-Time Delayed Neural Networks
Authors: Wu-Hua Chen; Xiaomei Lu; Wei Xing Zheng
Page(s): 734 - 748
9. A Universal Concept Based on Cellular Neural Networks for Ultrafast and Flexible Solving of Differential Equations
Authors: Jean Chamberlain Chedjou; Kyandoghere Kyamakya
Page(s): 749 - 762
10. On Learning Navigation Behaviors for Small Mobile Robots With Reservoir Computing Architectures
Authors: Eric Aislan Antonelo; Benjamin Schrauwen
Page(s): 763 - 780
11. Coupled Attribute Similarity Learning on Categorical Data
Authors: Can Wang; Xiangjun Dong; Fei Zhou; Longbing Cao; Chi-Hung Chi
Page(s): 781 - 797
12. Topology-Based Clustering Using Polar Self-Organizing Map
Authors: Lu Xu; Tommy W. S. Chow; Eden W. M. Ma
Page(s): 798 - 808
13. Robust Consensus Tracking Control for Multiagent Systems With Initial State Shifts, Disturbances, and Switching Topologies
Authors: Deyuan Meng; Yingmin Jia; Junping Du
Page(s): 809 - 824
14. $L_{1}$ -Norm Low-Rank Matrix Factorization by Variational Bayesian Method
Authors: Qian Zhao; Deyu Meng; Zongben Xu; Wangmeng Zuo; Yan Yan
Page(s): 825 - 839
15. Nonlinear Model Predictive Control Based on Collective Neurodynamic Optimization
Authors: Zheng Yan; Jun Wang
Page(s): 840 - 850
16. Multiple Actor-Critic Structures for Continuous-Time Optimal Control Using Input-Output Data
Authors: Ruizhuo Song; Frank Lewis; Qinglai Wei; Hua-Guang Zhang; Zhong-Ping Jiang; Dan Levine
Page(s): 851 - 865
17. Infinite Horizon Self-Learning Optimal Control of Nonaffine Discrete-Time Nonlinear Systems
Authors: Qinglai Wei; Derong Liu; Xiong Yang
Page(s): 866 - 879
18. A Bootstrap Based Neyman-Pearson Test for Identifying Variable Importance
Authors: Gregory Ditzler; Robi Polikar; Gail Rosen
Page(s): 880 - 886
Authors: Yi-Fei Pu; Ji-Liu Zhou; Yi Zhang; Ni Zhang; Guo Huang; Patrick Siarry
Page(s): 653 - 662
2. Quaternion-Valued Echo State Networks
Authors: Yili Xia; Cyrus Jahanchahi; Danilo P. Mandic
Page(s): 663 - 673
3. Successive Overrelaxation for Laplacian Support Vector Machine
Authors: Zhiquan Qi; Yingjie Tian; Yong Shi
Page(s): 674 - 683
4. Adaptive Optimal Control of Highly Dissipative Nonlinear Spatially Distributed Processes With Neuro-Dynamic Programming
Authors: Biao Luo; Huai-Ning Wu; Han-Xiong Li
Page(s): 684 - 696
5. Convolutive Bounded Component Analysis Algorithms for Independent and Dependent Source Separation
Authors: Huseyin A. Inan; Alper T. Erdogan
Page(s): 697 - 708
6. Gaussian Kernel Width Optimization for Sparse Bayesian Learning
Authors: Yalda Mohsenzadeh; Hamid Sheikhzadeh
Page(s): 709 - 719
7. Multiclass Semisupervised Learning Based Upon Kernel Spectral Clustering
Authors: Siamak Mehrkanoon; Carlos Alzate; Raghvendra Mall; Rocco Langone; Johan A. K. Suykens
Page(s): 720 - 733
8. Impulsive Stabilization and Impulsive Synchronization of Discrete-Time Delayed Neural Networks
Authors: Wu-Hua Chen; Xiaomei Lu; Wei Xing Zheng
Page(s): 734 - 748
9. A Universal Concept Based on Cellular Neural Networks for Ultrafast and Flexible Solving of Differential Equations
Authors: Jean Chamberlain Chedjou; Kyandoghere Kyamakya
Page(s): 749 - 762
10. On Learning Navigation Behaviors for Small Mobile Robots With Reservoir Computing Architectures
Authors: Eric Aislan Antonelo; Benjamin Schrauwen
Page(s): 763 - 780
11. Coupled Attribute Similarity Learning on Categorical Data
Authors: Can Wang; Xiangjun Dong; Fei Zhou; Longbing Cao; Chi-Hung Chi
Page(s): 781 - 797
12. Topology-Based Clustering Using Polar Self-Organizing Map
Authors: Lu Xu; Tommy W. S. Chow; Eden W. M. Ma
Page(s): 798 - 808
13. Robust Consensus Tracking Control for Multiagent Systems With Initial State Shifts, Disturbances, and Switching Topologies
Authors: Deyuan Meng; Yingmin Jia; Junping Du
Page(s): 809 - 824
14. $L_{1}$ -Norm Low-Rank Matrix Factorization by Variational Bayesian Method
Authors: Qian Zhao; Deyu Meng; Zongben Xu; Wangmeng Zuo; Yan Yan
Page(s): 825 - 839
15. Nonlinear Model Predictive Control Based on Collective Neurodynamic Optimization
Authors: Zheng Yan; Jun Wang
Page(s): 840 - 850
16. Multiple Actor-Critic Structures for Continuous-Time Optimal Control Using Input-Output Data
Authors: Ruizhuo Song; Frank Lewis; Qinglai Wei; Hua-Guang Zhang; Zhong-Ping Jiang; Dan Levine
Page(s): 851 - 865
17. Infinite Horizon Self-Learning Optimal Control of Nonaffine Discrete-Time Nonlinear Systems
Authors: Qinglai Wei; Derong Liu; Xiong Yang
Page(s): 866 - 879
18. A Bootstrap Based Neyman-Pearson Test for Identifying Variable Importance
Authors: Gregory Ditzler; Robi Polikar; Gail Rosen
Page(s): 880 - 886
IEEE Transactions on Autonomous Mental Development, Volume 7, Number 1, March 2015
1. Editorial IEEE Transactions on Autonomous Mental Development
Author(s): Cangelosi, A
Page(s): 1 - 2
2. Ecological Active Vision: Four Bioinspired Principles to Integrate Bottom–Up and Adaptive Top–Down Attention Tested With a Simple Camera-Arm Robot
Author(s): Ognibene, D. ; Baldassare, G.
Page(s): 3 - 25
3. A Simplified Cerebellar Model with Priority-based Delayed Eligibility Trace Learning for Motor Control
Author(s): Shim, V.A. ; Ranjit, C.S.N. ; Bo Tian ; Miaolong Yuan ; Huajin Tang
Page(s): 26 - 38
4. Mental States, EEG Manifestations, and Mentally Emulated Digital Circuits for Brain-Robot Interaction
Author(s): Bozinovski, S. ; Bozinovski, A.
Page(s): 39 - 51
5. Can Real-Time, Adaptive Human–Robot Motor Coordination Improve Humans’ Overall Perception of a Robot?
Author(s): Qiming Shen ; Dautenhahn, K. ; Saunders, J. ; Kose, H.
Page(s): 52 - 64
Author(s): Cangelosi, A
Page(s): 1 - 2
2. Ecological Active Vision: Four Bioinspired Principles to Integrate Bottom–Up and Adaptive Top–Down Attention Tested With a Simple Camera-Arm Robot
Author(s): Ognibene, D. ; Baldassare, G.
Page(s): 3 - 25
3. A Simplified Cerebellar Model with Priority-based Delayed Eligibility Trace Learning for Motor Control
Author(s): Shim, V.A. ; Ranjit, C.S.N. ; Bo Tian ; Miaolong Yuan ; Huajin Tang
Page(s): 26 - 38
4. Mental States, EEG Manifestations, and Mentally Emulated Digital Circuits for Brain-Robot Interaction
Author(s): Bozinovski, S. ; Bozinovski, A.
Page(s): 39 - 51
5. Can Real-Time, Adaptive Human–Robot Motor Coordination Improve Humans’ Overall Perception of a Robot?
Author(s): Qiming Shen ; Dautenhahn, K. ; Saunders, J. ; Kose, H.
Page(s): 52 - 64
Thursday, April 2, 2015
IEEE Transactions on Evolutionary Computation, Volume 19, Number 2, April 2015
1. Tikhonov Regularization as a Complexity Measure in Multiobjective Genetic Programming
Author(s): Ni, J. ; Rockett, P.
Page(s): 157 - 166
2. Parameter Control in Evolutionary Algorithms: Trends and Challenges
Author(s): Karafotias, G. ; Hoogendoorn, M. ; Eiben, A.E.
Page(s): 167 - 187
3. Convex Hull-Based Multiobjective Genetic Programming for Maximizing Receiver Operating Characteristic Performance
Author(s): Wang, P. ; Emmerich, M. ; Li, R. ; Tang, K. ; Back, T. ; Yao, X.
Page(s): 188 - 200
4. An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization
Author(s): Zhang, X. ; Tian, Y. ; Cheng, R. ; Jin, Y.
Page(s): 201 - 213
5. Probabilistic Dominance in Multiobjective Reliability-Based Optimization: Theory and Implementation
Author(s): Filomeno Coelho, R.
Page(s): 214 - 224
6. Visualization of Pareto Front Approximations in Evolutionary Multiobjective Optimization: A Critical Review and the Prosection Method
Author(s): Tusar, T. ; Filipic, B.
Page(s): 225 - 245
7. Inducing Niching Behavior in Differential Evolution Through Local Information Sharing
Author(s): Biswas, S. ; Kundu, S. ; Das, S.
Page(s): 246 - 263
8. Behavior of Multiobjective Evolutionary Algorithms on Many-Objective Knapsack Problems
Author(s): Ishibuchi, H. ; Akedo, N. ; Nojima, Y.
Page(s): 264 - 283
9. Toward the Coevolution of Novel Vertical-Axis Wind Turbines
Author(s): Preen, R.J. ; Bull, L.
Page(s): 284 - 294
10. On the Easiest and Hardest Fitness Functions
Author(s): He, J. ; Chen, T. ; Yao, X.
Page(s): 295 - 305
Author(s): Ni, J. ; Rockett, P.
Page(s): 157 - 166
2. Parameter Control in Evolutionary Algorithms: Trends and Challenges
Author(s): Karafotias, G. ; Hoogendoorn, M. ; Eiben, A.E.
Page(s): 167 - 187
3. Convex Hull-Based Multiobjective Genetic Programming for Maximizing Receiver Operating Characteristic Performance
Author(s): Wang, P. ; Emmerich, M. ; Li, R. ; Tang, K. ; Back, T. ; Yao, X.
Page(s): 188 - 200
4. An Efficient Approach to Nondominated Sorting for Evolutionary Multiobjective Optimization
Author(s): Zhang, X. ; Tian, Y. ; Cheng, R. ; Jin, Y.
Page(s): 201 - 213
5. Probabilistic Dominance in Multiobjective Reliability-Based Optimization: Theory and Implementation
Author(s): Filomeno Coelho, R.
Page(s): 214 - 224
6. Visualization of Pareto Front Approximations in Evolutionary Multiobjective Optimization: A Critical Review and the Prosection Method
Author(s): Tusar, T. ; Filipic, B.
Page(s): 225 - 245
7. Inducing Niching Behavior in Differential Evolution Through Local Information Sharing
Author(s): Biswas, S. ; Kundu, S. ; Das, S.
Page(s): 246 - 263
8. Behavior of Multiobjective Evolutionary Algorithms on Many-Objective Knapsack Problems
Author(s): Ishibuchi, H. ; Akedo, N. ; Nojima, Y.
Page(s): 264 - 283
9. Toward the Coevolution of Novel Vertical-Axis Wind Turbines
Author(s): Preen, R.J. ; Bull, L.
Page(s): 284 - 294
10. On the Easiest and Hardest Fitness Functions
Author(s): He, J. ; Chen, T. ; Yao, X.
Page(s): 295 - 305
IEEE Transactions on Computational Intelligence and AI in Games, Volume 7, Number 1, March 2015
Editorial
1. Editorial: IEEE Transactions on Computational Intelligence and AI in Games
Page(s): 1 - 2
Regular Papers
2. On Cost-Effective Incentive Mechanisms in Microtask Crowdsourcing
Author(s): Yang Gao ; Yan Chen ; Liu, K.J.R.
Page(s): 3 - 15
3. An Enhanced Solver for the Game of Amazons
Author(s): Jiaxing Song ; Muller, M.
Page(s): 16 - 27
4. Job-Level Alpha-Beta Search
Author(s): Jr-Chang Chen ; I-Chen Wu ; Wen-Jie Tseng ; Bo-Han Lin ; Chia-Hui Chang
Page(s): 28 - 38
5. Suspenser: A Story Generation System for Suspense
Author(s): Yun-Gyung Cheong ; Young, R.M.
Page(s): 39 - 52
6. Multiple Opponent Optimization of Prisoner’s Dilemma Playing Agents
Author(s): Ashlock, D. ; Brown, J.A. ; Hingston, P.
Page(s): 53 - 65
7. Design and Implementation of Chinese Dark Chess Programs
Author(s): Shi-Jim Yen ; Cheng-Wei Chou ; Jr-Chang Chen ; I-Chen Wu ; Kuo-Yuan Kao
Page(s): 66 - 74
8. Learning Behaviors of and Interactions Among Objects Through Spatio–Temporal Reasoning
Author(s): Ersen, M. ; Sariel, S.
Page(s): 75 - 87
9. Learning-Based Procedural Content Generation
Author(s): Roberts, J. ; Ke Chen
Page(s): 88 - 101
Short Papers
10. Sequential Halving Applied to Trees
Author(s): Cazenave, T.
Page(s): 102 - 105
1. Editorial: IEEE Transactions on Computational Intelligence and AI in Games
Page(s): 1 - 2
Regular Papers
2. On Cost-Effective Incentive Mechanisms in Microtask Crowdsourcing
Author(s): Yang Gao ; Yan Chen ; Liu, K.J.R.
Page(s): 3 - 15
3. An Enhanced Solver for the Game of Amazons
Author(s): Jiaxing Song ; Muller, M.
Page(s): 16 - 27
4. Job-Level Alpha-Beta Search
Author(s): Jr-Chang Chen ; I-Chen Wu ; Wen-Jie Tseng ; Bo-Han Lin ; Chia-Hui Chang
Page(s): 28 - 38
5. Suspenser: A Story Generation System for Suspense
Author(s): Yun-Gyung Cheong ; Young, R.M.
Page(s): 39 - 52
6. Multiple Opponent Optimization of Prisoner’s Dilemma Playing Agents
Author(s): Ashlock, D. ; Brown, J.A. ; Hingston, P.
Page(s): 53 - 65
7. Design and Implementation of Chinese Dark Chess Programs
Author(s): Shi-Jim Yen ; Cheng-Wei Chou ; Jr-Chang Chen ; I-Chen Wu ; Kuo-Yuan Kao
Page(s): 66 - 74
8. Learning Behaviors of and Interactions Among Objects Through Spatio–Temporal Reasoning
Author(s): Ersen, M. ; Sariel, S.
Page(s): 75 - 87
9. Learning-Based Procedural Content Generation
Author(s): Roberts, J. ; Ke Chen
Page(s): 88 - 101
Short Papers
10. Sequential Halving Applied to Trees
Author(s): Cazenave, T.
Page(s): 102 - 105
Monday, March 16, 2015
Neural Networks, Volume 65 , Pages 1-126, May 2015
1. Enhanced low-rank representation via sparse manifold adaption for semi-supervised learning
Pages: 1-17
Author(s): Yong Peng, Bao-Liang Lu, Suhang Wang
2. Computational cognitive models of spatial memory in navigation space: A review
Pages: 18-43
Author(s): Tamas Madl, Ke Chen, Daniela Montaldi, Robert Trappl
3. Attention modeled as information in learning multisensory integration
Pages: 44-52
Author(s): Johannes Bauer, Sven Magg, Stefan Wermter
4. A new class of multi-stable neural networks: Stability analysis and learning process
Pages: 53-64
Author(s): E. Bavafaye Haghighi, G. Palm, M. Rahmati, M.J. Yazdanpanah
5. Multistability of neural networks with discontinuous non-monotonic piecewise linear activation functions and time-varying delays
Pages: 65-79
Author(s): Xiaobing Nie, Wei Xing Zheng
6. Pth moment exponential stochastic synchronization of coupled memristor-based neural networks with mixed delays via delayed impulsive control
Pages: 80-91
Author(s): Xinsong Yang, Jinde Cao, Jianlong Qiu
7. Robust L1-norm two-dimensional linear discriminant analysis
Pages: 92-104
Author(s): Chun-Na Li, Yuan-Hai Shao, Nai-Yang Deng
8. New exponential synchronization criteria for time-varying delayed neural networks with discontinuous activations
Pages: 105-114
Author(s): Zuowei Cai, Lihong Huang, Lingling Zhang
9. Local Rademacher Complexity: Sharper risk bounds with and without unlabeled samples
Pages: 115-125
Author(s): Luca Oneto, Alessandro Ghio, Sandro Ridella, Davide Anguita
Tuesday, March 10, 2015
Measurement Theory
Just because something is expressed as a number, doesn't mean you can do arithmetic with it. Let's say I give you three numbers: 1,2,3. What's the mean of these numbers? (1+2+3)/3=2, right? Well, what if I told you that 1=apple, 2=pear and 3=banana? What's the mean of an apple, a pear and a banana? Plainly, the question is ridiculous. Yet there is still a substantial number of people in science, and in computational intelligence, who fall into this trap, especially when presenting data to models like neural networks.
Neural networks aren't magic: they can't tell what a number submitted to their input layers mean, they just multiply them by their connection weights, sum the products and apply a transformation function to them. So if the numbers you are submitting to them represent classes, rather than measurements, what are they really modelling?
Measurement is the most fundamental part of data collection, as all natural data originates as measurements of properties of events. Measurements should represent reality and relationships between measurements should reflect the relationships between attributes. This is most important is consideration is given to the principle that data represents reality: as the source of data, measurements must yield and adequate representation of reality.
Measurement theory, as originated by Stevens, helps us achieve this. By specifying and formalising what exactly measurement is, we can better use measurement to gather data. By understanding exactly what the numbers mean, we can better analyse and transform the data into information and knowledge, while avoiding such traps as making meaningless statements about the numbers or performing a meaningless transformation on the data. A crucial point to bear to in mind is that measurements represent reality but are not the same as reality.
These four characteristics define the “strength” of the measurement scale. The scales, from “weakest” to “strongest” are:
Permissible statistics introduced at the ratio scale are the coefficient of variation, and permissible transformations are affine transformations, that is, y=ax.
Only affine transformations are permissible for measurements on the absolute scale.
You must know which scale the measurements belong to, as they will determine what you can meaningfully do with the data. They will also inform as to how you represent the data for presentation to your models. A working knowledge of measurement theory, therefore, is essential for any serious practitioner in computational intelligence.
Neural networks aren't magic: they can't tell what a number submitted to their input layers mean, they just multiply them by their connection weights, sum the products and apply a transformation function to them. So if the numbers you are submitting to them represent classes, rather than measurements, what are they really modelling?
Measurement is the most fundamental part of data collection, as all natural data originates as measurements of properties of events. Measurements should represent reality and relationships between measurements should reflect the relationships between attributes. This is most important is consideration is given to the principle that data represents reality: as the source of data, measurements must yield and adequate representation of reality.
Measurement theory, as originated by Stevens, helps us achieve this. By specifying and formalising what exactly measurement is, we can better use measurement to gather data. By understanding exactly what the numbers mean, we can better analyse and transform the data into information and knowledge, while avoiding such traps as making meaningless statements about the numbers or performing a meaningless transformation on the data. A crucial point to bear to in mind is that measurements represent reality but are not the same as reality.
Measurement Scales
At the heart of Steven’s measurement theory is the concept of measurement scales. Four such scales are defined (although other have been added since) where each scale is distinguished according to four characteristics:- Distinctiveness: individuals are assigned different values if the property being measure is different.
- Ordering in magnitude: larger numbers represent greater quantities of the property being measured;
- Equal intervals: a difference in measurement represents the same difference in the property.
- Absolute zero: a measurement of zero represents an absence of the property being measured.
These four characteristics define the “strength” of the measurement scale. The scales, from “weakest” to “strongest” are:
- Nominal
- Ordinal
- Interval
- Ratio
- Absolute
Nominal Scale
The nominal scale is the weakest of the measurement scales. It possesses only the characteristic of distinctiveness. In other words, if the same attribute of two individuals are assigned the same number, then the attributes are identical. No other conclusions may be drawn from those numbers, as they are simply arbitrary numeric labels. For example, the colours Red, Green, and Blue can be placed on the nominal scale with the measurements Red=1, Green=2, Blue=3. However, two reds do not make a green. They could just as easily be labelled Green=1, Blue=2, Red=3, or any other permutation, without altering their distinctiveness. The only permissible statistics for nominal scale measurements are the number of cases and the mode. Permissible transformations are permutations and one-to-one substitutions.Ordinal Scale
Measurements on the ordinal scale have the properties of distinctiveness and ordering in magnitude. In other words, objects are ordered in the scale according to some pair-wise comparison. That is, measurements on this scale can be compared to one another with the equality, greater than or less than operators. However, while we can say that one measurement is greater than or less than another, we cannot say how different they are. Numbers in this scale are categories; they do not have the arithmetic properties of numbers. An example of an ordinal scale measurement is teaching evaluations: a teacher’s performance is evaluated by students over several variables, with the performance being rated from one to five, with one being “Poor” and five being “Excellent”. While it is meaningful to draw the conclusion that a score of four is better than a score of two, it is not meaningful to draw the conclusion that a score of four is twice as good as a score of two, nor is it meaningful to say that a score of five is the same “distance” from a score of three, as a score of three is from one. Permissible statistics introduced at the ordinal scale are medians and percentiles. Permissible transformations introduced are monotonic increasing functions, that is, any transformation that will maintain the order of the individuals.Interval Scale
Measurements on the interval scale have the characteristics of distinctiveness, ordering in magnitude and equal intervals. In this scale, objects are placed in order on a number line with an arbitrary zero point and an arbitrary interval between objects. While the numerical values have no significance other than as labels, differences between the values do have meaning. An example of an interval scale is the date in years. The common era (CE) scale has an arbitrary zero point (set at the putative time of the birth of Christ) and equally sized intervals (the length of a year does not vary, excepting leap years, which actually make up for errors caused by the slight mismatch between the arbitrary length of the year set at 365 days and the actual length of the Earth’s orbit). It is meaningful to say that 1973 is later than 1928, and that the difference between 1999 and 1973 is twice the difference between 1986 and 1973. It is not meaningful, however, to say that 2004 is twice the year that 1002 was. Permissible statistics introduced at the interval scale are the mean, standard deviation, rank-order correlation and product-moment correlation. Permissible transformations introduced are linear transformations of the format y=ax+b, where x is the measurement, and the constant a cannot be zero. In other words, permissible transformations are those transformations that preserve the order of the objects, and the relative intervals between them.Ratio Scale
Measurements on the ratio scale have the characteristics of distinctiveness, ordering in magnitude, equal intervals and absolute zero. In this scale, objects are placed in order on a number line with equally sized intervals and a true zero point. A measurement of zero on the ratio scale indicates the absence of the property being measured. A ratio scale can also be defined as the differences between two interval measures: a difference of zero between two interval measurements indicates an absence of difference. In the ratio scale, the values themselves have significance, as do the differences and ratios of those values. Many properties in physics are ratio scale measurements. An example of this is speed. An object with a speed of zero isn’t moving, that is, it has no speed, while an object moving at fifty metres per second is twice as fast as an object moving at twenty-five metres per second.Permissible statistics introduced at the ratio scale are the coefficient of variation, and permissible transformations are affine transformations, that is, y=ax.
Absolute Scale
Whereas measurements on the ratio scale have an absolute zero point, measurements on the absolute scale have and absolute zero and an absolute upper bound. The classical example of this is probabilities: the probability of an event can range from zero (the event will never happen) to one (the event will always happen). A probability of less than zero or greater than one is meaningless.Only affine transformations are permissible for measurements on the absolute scale.
Transforming Between Scales
It is possible to transform a measurement made on a particular measurement scale to a weaker scale only. This transformation will involve a loss of information, and cannot be reversed. In other words, it is not possible to transform to a higher measurement scale. For example, consider the heights, in metres, of a group of three people. One person is 1.4 metres tall, the second is 1.8 metres tall, and the third is 2 metres tall. If we say that a person’s height is 1 if they are short, 2 if they are average and 3 if they are tall, then it is possible to transform these ratio scale measurements into the ordinal scale, by assigning the first person’s height a value of 1, the second a value of 2 and the third a value of 3. However, if we know only that a persons height is 2 on this scale, we cannot determine exactly what their true height is.Summary
The major implication of this is that data must be collected with great care. Once a measurement is made on a particular measurement scale, it cannot be transformed into a higher scale. Once the measurement is made, no further information can be associated with it.You must know which scale the measurements belong to, as they will determine what you can meaningfully do with the data. They will also inform as to how you represent the data for presentation to your models. A working knowledge of measurement theory, therefore, is essential for any serious practitioner in computational intelligence.
Tuesday, March 3, 2015
IEEE Transactions on Neural Networks and Learning Systems: Volume 26, Issue 3, March 2015
1. An Enhanced Fuzzy Min–Max Neural Network for Pattern Classification
Authors: Mohammed Falah Mohammed; Chee Peng Lim
Page(s): 417 - 429
2. ML-TREE: A Tree-Structure-Based Approach to Multilabel Learning
Authors: Qingyao Wu; Yunming Ye; Haijun Zhang; Tommy W. S. Chow; Shen-Shyang Ho
Page(s): 430 - 443
3. Scaling Up Graph-Based Semisupervised Learning via Prototype Vector Machines
Authors: Kai Zhang; Liang Lan; James T. Kwok; Slobodan Vucetic; Bahram Parvin
Page(s): 444 - 457
4. Dimension Selective Self-Organizing Maps With Time-Varying Structure for Subspace and Projected Clustering
Authors: Hansenclever F. Bassani; Aluizio F. R. Araujo
Page(s): 458 - 471
5. Neural Network-Based Finite Horizon Stochastic Optimal Control Design for Nonlinear Networked Control Systems
Authors: Hao Xu; Sarangapani Jagannathan
Page(s): 472 - 485
6. Neural Network-Based Finite-Horizon Optimal Control of Uncertain Affine Nonlinear Discrete-Time Systems
Authors: Qiming Zhao; Hao Xu; Sarangapani Jagannathan
Page(s): 486 - 499
7. Maintaining the Integrity of Sources in Complex Learning Systems: Intraference and the Correlation Preserving Transform
Authors: Clive Cheong Took; Scott C. Douglas; Danilo P. Mandic
Page(s): 500 - 509
8. Exponential Synchronization of Complex Networks of Linear Systems and Nonlinear Oscillators: A Unified Analysis
Authors: Jiahu Qin; Huijun Gao; Wei Xing Zheng
Page(s): 510 - 521
9. Spatio-Temporal Learning With the Online Finite and Infinite Echo-State Gaussian Processes
Authors: Harold Soh; Yiannis Demiris
Page(s): 522 - 536
10. Bayesian Nonparametric Adaptive Control Using Gaussian Processes
Authors: Girish Chowdhary; Hassan A. Kingravi; Jonathan P. How; Patricio A. Vela
Page(s): 537 - 550
11. Generalization Performance of Radial Basis Function Networks
Authors: Yunwen Lei; Lixin Ding; Wensheng Zhang
Page(s): 551 - 564
12. Second-Order Global Consensus in Multiagent Networks With Random Directional Link Failure
Authors: Huaqing Li; Xiaofeng Liao; Tingwen Huang; Wei Zhu; Yanbing Liu
Page(s): 565 - 575
13. Novelty Detection Using Level Set Methods
Authors: Xuemei Ding; Yuhua Li; Ammar Belatreche; Liam P. Maguire
Page(s): 576 - 588
14. A Simplified Adaptive Neural Network Prescribed Performance Controller for Uncertain MIMO Feedback Linearizable Systems
Authors: Achilles Theodorakopoulos; George A. Rovithakis
Page(s): 589 - 600
15. Convergence Analysis of the FOCUSS Algorithm
Authors: Kan Xie; Zhaoshui He; Andrzej Cichocki
Page(s): 601 - 613
16. GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming
Authors: Zhen Ni; Haibo He; Dongbin Zhao; Xin Xu; Danil V. Prokhorov
Page(s): 614 - 627
17. The Generalization Ability of Online SVM Classification Based on Markov Sampling
Authors: Jie Xu; Yuan Yan Tang; Bin Zou; Zongben Xu; Luoqing Li; Yang Lu
Page(s): 628 - 639
18. Neural Network-Based Adaptive Dynamic Surface Control for Permanent Magnet Synchronous Motors
Authors: Jinpeng Yu; Peng Shi; Wenjie Dong; Bing Chen; Chong Lin
Page(s): 640 - 645
19. A Unified Approach to Universal Prediction: Generalized Upper and Lower Bounds
Authors: Nuri Denizcan Vanli; Suleyman S. Kozat
Page(s): 646 - 651
Authors: Mohammed Falah Mohammed; Chee Peng Lim
Page(s): 417 - 429
2. ML-TREE: A Tree-Structure-Based Approach to Multilabel Learning
Authors: Qingyao Wu; Yunming Ye; Haijun Zhang; Tommy W. S. Chow; Shen-Shyang Ho
Page(s): 430 - 443
3. Scaling Up Graph-Based Semisupervised Learning via Prototype Vector Machines
Authors: Kai Zhang; Liang Lan; James T. Kwok; Slobodan Vucetic; Bahram Parvin
Page(s): 444 - 457
4. Dimension Selective Self-Organizing Maps With Time-Varying Structure for Subspace and Projected Clustering
Authors: Hansenclever F. Bassani; Aluizio F. R. Araujo
Page(s): 458 - 471
5. Neural Network-Based Finite Horizon Stochastic Optimal Control Design for Nonlinear Networked Control Systems
Authors: Hao Xu; Sarangapani Jagannathan
Page(s): 472 - 485
6. Neural Network-Based Finite-Horizon Optimal Control of Uncertain Affine Nonlinear Discrete-Time Systems
Authors: Qiming Zhao; Hao Xu; Sarangapani Jagannathan
Page(s): 486 - 499
7. Maintaining the Integrity of Sources in Complex Learning Systems: Intraference and the Correlation Preserving Transform
Authors: Clive Cheong Took; Scott C. Douglas; Danilo P. Mandic
Page(s): 500 - 509
8. Exponential Synchronization of Complex Networks of Linear Systems and Nonlinear Oscillators: A Unified Analysis
Authors: Jiahu Qin; Huijun Gao; Wei Xing Zheng
Page(s): 510 - 521
9. Spatio-Temporal Learning With the Online Finite and Infinite Echo-State Gaussian Processes
Authors: Harold Soh; Yiannis Demiris
Page(s): 522 - 536
10. Bayesian Nonparametric Adaptive Control Using Gaussian Processes
Authors: Girish Chowdhary; Hassan A. Kingravi; Jonathan P. How; Patricio A. Vela
Page(s): 537 - 550
11. Generalization Performance of Radial Basis Function Networks
Authors: Yunwen Lei; Lixin Ding; Wensheng Zhang
Page(s): 551 - 564
12. Second-Order Global Consensus in Multiagent Networks With Random Directional Link Failure
Authors: Huaqing Li; Xiaofeng Liao; Tingwen Huang; Wei Zhu; Yanbing Liu
Page(s): 565 - 575
13. Novelty Detection Using Level Set Methods
Authors: Xuemei Ding; Yuhua Li; Ammar Belatreche; Liam P. Maguire
Page(s): 576 - 588
14. A Simplified Adaptive Neural Network Prescribed Performance Controller for Uncertain MIMO Feedback Linearizable Systems
Authors: Achilles Theodorakopoulos; George A. Rovithakis
Page(s): 589 - 600
15. Convergence Analysis of the FOCUSS Algorithm
Authors: Kan Xie; Zhaoshui He; Andrzej Cichocki
Page(s): 601 - 613
16. GrDHP: A General Utility Function Representation for Dual Heuristic Dynamic Programming
Authors: Zhen Ni; Haibo He; Dongbin Zhao; Xin Xu; Danil V. Prokhorov
Page(s): 614 - 627
17. The Generalization Ability of Online SVM Classification Based on Markov Sampling
Authors: Jie Xu; Yuan Yan Tang; Bin Zou; Zongben Xu; Luoqing Li; Yang Lu
Page(s): 628 - 639
18. Neural Network-Based Adaptive Dynamic Surface Control for Permanent Magnet Synchronous Motors
Authors: Jinpeng Yu; Peng Shi; Wenjie Dong; Bing Chen; Chong Lin
Page(s): 640 - 645
19. A Unified Approach to Universal Prediction: Generalized Upper and Lower Bounds
Authors: Nuri Denizcan Vanli; Suleyman S. Kozat
Page(s): 646 - 651
Monday, March 2, 2015
Reminder: conference paper deadline for IEEE CIG 2015
A reminder that the paper submission deadline for the 2015 IEEE Conference on Computational Intelligence in Games (IEEE CIG) is April 2, 2015. This conference will be held in Tainan, Taiwan, 31 August to 2 September, 2015.
Thursday, February 26, 2015
Evolving Systems, Vol. 6, Issue 1
1. Evolving personalized modeling system for integrated feature, neighborhood and parameter optimization utilizing gravitational search algorithm
Author(s): Wen Liang, Yingjie Hu & Nikola Kasabov
Pages: 1-14
2. Comparative study of existing personalized approaches for identifying important gene markers and for risk estimation in Type2 Diabetes in Italian population
Author(s): Anju Verma, Maurizio Fiasché, Maria Cuzzola & Giuseppe Irrera
Pages: 15-22
3. Self-* programming: run-time parallel control search for reflection box
Author(s): Olga Brukman, Shlomi Dolev, Moshe Weinstock & Gera Weiss
Pages: 23-40
4. Immune optimization approach solving multi-objective chance-constrained programming
Author(s): Zhuhong Zhang, Lei Wang & Fei Long
Pages: 41-53
5. Enabling public verifiability and availability for secure data storage in cloud computing
Author(s): Rashmi M. Jogdand, R. H. Goudar, Gazal Begum Sayed & Pratik B. Dhamanekar
Pages: 55-65
6. Fuzzy hypotheses testing using fuzzy data and confidence interval in radar decision criteria
Author(s): Ahmed K. Elsherif, Chunming Tang & Lei Zhang
Pages: 67-74
Author(s): Wen Liang, Yingjie Hu & Nikola Kasabov
Pages: 1-14
2. Comparative study of existing personalized approaches for identifying important gene markers and for risk estimation in Type2 Diabetes in Italian population
Author(s): Anju Verma, Maurizio Fiasché, Maria Cuzzola & Giuseppe Irrera
Pages: 15-22
3. Self-* programming: run-time parallel control search for reflection box
Author(s): Olga Brukman, Shlomi Dolev, Moshe Weinstock & Gera Weiss
Pages: 23-40
4. Immune optimization approach solving multi-objective chance-constrained programming
Author(s): Zhuhong Zhang, Lei Wang & Fei Long
Pages: 41-53
5. Enabling public verifiability and availability for secure data storage in cloud computing
Author(s): Rashmi M. Jogdand, R. H. Goudar, Gazal Begum Sayed & Pratik B. Dhamanekar
Pages: 55-65
6. Fuzzy hypotheses testing using fuzzy data and confidence interval in radar decision criteria
Author(s): Ahmed K. Elsherif, Chunming Tang & Lei Zhang
Pages: 67-74
Monday, February 23, 2015
Reminder: paper deadline for INNS Big Data 2015
A reminder that the deadline for submitting papers to the INNS Conference on Big Data is March 22, 2015. This conference will be held in San Francisco, USA, 8-10 August, 2015.
Thursday, February 5, 2015
Neural Networks Volume 64, Pages 1-64, April 2015
Special Issue on “Deep Learning of Representations”
Edited by Yoshua Bengio and Honglak Lee
1. Editorial introduction to the Neural Networks special issue on Deep Learning of Representations
Pages: 1-3
Author(s): Yoshua Bengio, Honglak Lee
2. Two-layer contractive encodings for learning stable nonlinear features
Pages: 4-11
Author(s): Hannes Schulz, Kyunghyun Cho, Tapani Raiko, Sven Behnke
3. Measuring the usefulness of hidden units in Boltzmann machines with mutual information
Pages: 12-18
Author(s): Mathias Berglund, Tapani Raiko, Kyunghyun Cho
4. Deep learning of support vector machines with class probability output networks
Pages: 19-28
Author(s): Sangwook Kim, Zhibin Yu, Rhee Man Kil, Minho Lee
5. Expected energy-based restricted Boltzmann machine for classification
Pages: 29-38
Author(s): S. Elfwing, E. Uchibe, K. Doya
6. Deep Convolutional Neural Networks for Large-scale Speech Tasks
Pages: 39-48
Author(s): Tara N. Sainath, Brian Kingsbury, George Saon, Hagen Soltau, Abdel-rahman Mohamed, George Dahl, Bhuvana Ramabhadran
7. Frame-by-frame language identification in short utterances using deep neural networks
Pages: 49-58
Author(s): Javier Gonzalez-Dominguez, Ignacio Lopez-Moreno, Pedro J. Moreno, Joaquin Gonzalez-Rodriguez
8. Challenges in representation learning: A report on three machine learning contests
Pages: 59-63
Author(s): Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron Courville, Mehdi Mirza, Ben Hamner, Will Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Zhang Chuang, Yoshua Bengio
Edited by Yoshua Bengio and Honglak Lee
1. Editorial introduction to the Neural Networks special issue on Deep Learning of Representations
Pages: 1-3
Author(s): Yoshua Bengio, Honglak Lee
2. Two-layer contractive encodings for learning stable nonlinear features
Pages: 4-11
Author(s): Hannes Schulz, Kyunghyun Cho, Tapani Raiko, Sven Behnke
3. Measuring the usefulness of hidden units in Boltzmann machines with mutual information
Pages: 12-18
Author(s): Mathias Berglund, Tapani Raiko, Kyunghyun Cho
4. Deep learning of support vector machines with class probability output networks
Pages: 19-28
Author(s): Sangwook Kim, Zhibin Yu, Rhee Man Kil, Minho Lee
5. Expected energy-based restricted Boltzmann machine for classification
Pages: 29-38
Author(s): S. Elfwing, E. Uchibe, K. Doya
6. Deep Convolutional Neural Networks for Large-scale Speech Tasks
Pages: 39-48
Author(s): Tara N. Sainath, Brian Kingsbury, George Saon, Hagen Soltau, Abdel-rahman Mohamed, George Dahl, Bhuvana Ramabhadran
7. Frame-by-frame language identification in short utterances using deep neural networks
Pages: 49-58
Author(s): Javier Gonzalez-Dominguez, Ignacio Lopez-Moreno, Pedro J. Moreno, Joaquin Gonzalez-Rodriguez
8. Challenges in representation learning: A report on three machine learning contests
Pages: 59-63
Author(s): Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron Courville, Mehdi Mirza, Ben Hamner, Will Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang, Dimitris Athanasakis, John Shawe-Taylor, Maxim Milakov, John Park, Radu Ionescu, Marius Popescu, Cristian Grozea, James Bergstra, Jingjing Xie, Lukasz Romaszko, Bing Xu, Zhang Chuang, Yoshua Bengio
Wednesday, February 4, 2015
IEEE Transactions on Fuzzy Systems, Volume 23, Number 1, February 2015
1. Guest Editorial Web-Based Intelligent Support Systems—Preface to the Special Section
Author(s): Pedrycz, W.; Lu, J.
Page(s): 1-2
2. Web-Based Medical Decision Support Systems for Three-Way Medical Decision Making With Game-Theoretic Rough Sets
Author(s): Yao, J.; Azam, N.
Page(s): 3-15
3. A Web-based Decision Support Center for Electrical Energy Companies
Author(s): Kokshenev, I.; Parreiras, R.O.; Ekel, P.Y.; Alves, G.B.; Menicucci, S.V.
Page(s): 16 - 28
4. A Fuzzy Preference Tree-Based Recommender System for Personalized Business-to-Business E-Services
Author(s): Wu, D.; Zhang, G.; Lu, J.
Page(s): 29-43
5. Linguistic Descriptions for Automatic Generation of Textual Short-Term Weather Forecasts on Real Prediction Data
Author(s): Ramos-Soto, A.; Bugarin, A.J.; Barro, S.; Taboada, J.
Page(s): 44-57
6. An Improved Direct Adaptive Fuzzy Controller of an Uncertain PMSM for Web-Based E-Service Systems
Author(s): Zhou, C.; Quach, D.; Xiong, N.; Huang, S.; Zhang, Q.; Yin, Q.; Vasilakos, A.V.
Page(s): 58-71
7. Online Comment-Based Hotel Quality Automatic Assessment Using Improved Fuzzy Comprehensive Evaluation and Fuzzy Cognitive Map
Author(s): Wei, X.; Luo, X.; Li, Q.; Zhang, J.; Xu, Z.
Page(s): 72-84
8. Observer-Biased Fuzzy Clustering
Author(s): Fazendeiro, P.; de Oliveira, J.V.
Page(s): 85-97
9. Theory of Generalized Fuzzy Discrete-Event Systems
Author(s): Nie, M.; Tan, W.W.
Page(s): 98-110
10. Fuzzy Rating Scale-Based Questionnaires and Their Statistical Analysis
Author(s): de la Rosa de Saa, S.; Gil, M.A.; Gonzalez-Rodriguez, G.; Lopez, M.T.; Lubiano, M.A.
Page(s): 111-126
11. Cauchy-Like Functional Equation Based on Continuous T-Conorms and Representable Uninorms
Author(s): Qin, F.
Page(s): 127-138
12. Fault Detection and Isolation for a Class of Uncertain State-Feedback Fuzzy Control Systems
Author(s): Yang, G.-H.; Wang, H.
Page(s): 139-151
13. Leader-Based Optimal Coordination Control for the Consensus Problem of Multiagent Differential Games via Fuzzy Adaptive Dynamic Programming
Author(s): Zhang, H.; Zhang, J.; Yang, G.-H.; Luo, Y.
Page(s): 152-163
14. Fuzzy Logic for Adaptive Instruction in an E-learning Environment for Computer Programming
Author(s): Chrysafiadi, K.; Virvou, M.
Page(s): 164 - 177
15. Supervisory Control of Fuzzy Discrete-Event Systems for Simulation Equivalence
Author(s): Deng, W.; Qiu, D.
Page(s): 178-192
16. Adaptive Tracking Control for A Class of Nonlinear Systems With a Fuzzy Dead-Zone Input
Author(s): Liu, Z.; Wang, F.; Zhang, Y.; Chen, X.; Chen, C.L.P.
Page(s): 193-204
17. Adaptive Indirect Fuzzy Sliding Mode Controller for Networked Control Systems Subject to Time-Varying Network-Induced Time Delay
Author(s): Khanesar, M.A.; Kaynak, O.; Yin, S.; Gao, H.
Page(s): 205-214
18. Error-Compensated Marginal Linearization Method for Modeling a Fuzzy System
Author(s): Wang, D.-G.; Chen, C.L.P.; Song, W.-Y.; Li, H.-X.
Page(s): 215-222
19. A Novel Observer-Based Output Feedback Controller Design for Discrete-Time Fuzzy Systems
Author(s): Zhang, J.; Shi, P.; Qiu, J.; Nguang, S.K.
Page(s): 223-229
20. Comments on "Exact Output Regulation for Nonlinear Systems Described by Takagi–Sugeno Fuzzy Models"
Author(s): Robles, R.; Bernal, M.
Page(s): 230-233
Author(s): Pedrycz, W.; Lu, J.
Page(s): 1-2
2. Web-Based Medical Decision Support Systems for Three-Way Medical Decision Making With Game-Theoretic Rough Sets
Author(s): Yao, J.; Azam, N.
Page(s): 3-15
3. A Web-based Decision Support Center for Electrical Energy Companies
Author(s): Kokshenev, I.; Parreiras, R.O.; Ekel, P.Y.; Alves, G.B.; Menicucci, S.V.
Page(s): 16 - 28
4. A Fuzzy Preference Tree-Based Recommender System for Personalized Business-to-Business E-Services
Author(s): Wu, D.; Zhang, G.; Lu, J.
Page(s): 29-43
5. Linguistic Descriptions for Automatic Generation of Textual Short-Term Weather Forecasts on Real Prediction Data
Author(s): Ramos-Soto, A.; Bugarin, A.J.; Barro, S.; Taboada, J.
Page(s): 44-57
6. An Improved Direct Adaptive Fuzzy Controller of an Uncertain PMSM for Web-Based E-Service Systems
Author(s): Zhou, C.; Quach, D.; Xiong, N.; Huang, S.; Zhang, Q.; Yin, Q.; Vasilakos, A.V.
Page(s): 58-71
7. Online Comment-Based Hotel Quality Automatic Assessment Using Improved Fuzzy Comprehensive Evaluation and Fuzzy Cognitive Map
Author(s): Wei, X.; Luo, X.; Li, Q.; Zhang, J.; Xu, Z.
Page(s): 72-84
8. Observer-Biased Fuzzy Clustering
Author(s): Fazendeiro, P.; de Oliveira, J.V.
Page(s): 85-97
9. Theory of Generalized Fuzzy Discrete-Event Systems
Author(s): Nie, M.; Tan, W.W.
Page(s): 98-110
10. Fuzzy Rating Scale-Based Questionnaires and Their Statistical Analysis
Author(s): de la Rosa de Saa, S.; Gil, M.A.; Gonzalez-Rodriguez, G.; Lopez, M.T.; Lubiano, M.A.
Page(s): 111-126
11. Cauchy-Like Functional Equation Based on Continuous T-Conorms and Representable Uninorms
Author(s): Qin, F.
Page(s): 127-138
12. Fault Detection and Isolation for a Class of Uncertain State-Feedback Fuzzy Control Systems
Author(s): Yang, G.-H.; Wang, H.
Page(s): 139-151
13. Leader-Based Optimal Coordination Control for the Consensus Problem of Multiagent Differential Games via Fuzzy Adaptive Dynamic Programming
Author(s): Zhang, H.; Zhang, J.; Yang, G.-H.; Luo, Y.
Page(s): 152-163
14. Fuzzy Logic for Adaptive Instruction in an E-learning Environment for Computer Programming
Author(s): Chrysafiadi, K.; Virvou, M.
Page(s): 164 - 177
15. Supervisory Control of Fuzzy Discrete-Event Systems for Simulation Equivalence
Author(s): Deng, W.; Qiu, D.
Page(s): 178-192
16. Adaptive Tracking Control for A Class of Nonlinear Systems With a Fuzzy Dead-Zone Input
Author(s): Liu, Z.; Wang, F.; Zhang, Y.; Chen, X.; Chen, C.L.P.
Page(s): 193-204
17. Adaptive Indirect Fuzzy Sliding Mode Controller for Networked Control Systems Subject to Time-Varying Network-Induced Time Delay
Author(s): Khanesar, M.A.; Kaynak, O.; Yin, S.; Gao, H.
Page(s): 205-214
18. Error-Compensated Marginal Linearization Method for Modeling a Fuzzy System
Author(s): Wang, D.-G.; Chen, C.L.P.; Song, W.-Y.; Li, H.-X.
Page(s): 215-222
19. A Novel Observer-Based Output Feedback Controller Design for Discrete-Time Fuzzy Systems
Author(s): Zhang, J.; Shi, P.; Qiu, J.; Nguang, S.K.
Page(s): 223-229
20. Comments on "Exact Output Regulation for Nonlinear Systems Described by Takagi–Sugeno Fuzzy Models"
Author(s): Robles, R.; Bernal, M.
Page(s): 230-233
Tuesday, February 3, 2015
IEEE Transactions on Neural Networks and Learning Systems, Volume 26, Issue 2, February 2015
1. Targeting Accurate Object Extraction From an Image: A Comprehensive Study of Natural Image Matting
Author(s): Qingsong Zhu; Ling Shao; Xuelong Li; Lei Wang
Page(s): 185 - 207
2. Kernel Association for Classification and Prediction: A Survey
Author(s): Yuichi Motai
Page(s): 208 - 223
3. Modified Neural Dynamic Surface Approach to Output Feedback of MIMO Nonlinear Systems
Author(s): Guofa Sun; Dongwu Li; Xuemei Ren
Page(s): 224 - 236
4. Efficient $l_{1}$-Norm-Based Low-Rank Matrix Approximations for Large-Scale Problems Using Alternating Rectified Gradient Method
Author(s): Eunwoo Kim; Minsik Lee; Chong-Ho Choi; Nojun Kwak; Songhwai Oh
Page(s): 237 - 251
5. Semisupervised Feature Selection via Spline Regression for Video Semantic Recognition Constraints
Author(s): Yahong Han; Yi Yang; Yan Yan; Zhigang Ma; Nicu Sebe; Xiaofang Zhou
Page(s): 252 - 264
6. A Scalable Projective Scaling Algorithm for $l_{p}$ Loss With Convex Penalizations
Author(s): Hongbo Zhou; Qiang Cheng
Page(s): 265 - 276
7. Scatter Balance: An Angle-Based Supervised Dimensionality Reduction
Author(s): Shenglan Liu; Lin Feng; Hong Qiao
Page(s): 277 - 289
8. Consensus in Continuous-Time Multiagent Systems Under Discontinuous Nonlinear Protocols
Author(s): Bo Liu; Wenlian Lu; Tianping Chen
Page(s): 290 - 301
9. Backstepping Fuzzy-Neural-Network Control Design for Hybrid Maglev Transportation System
Author(s): Rong-Jong Wai; Jing-Xiang Yao; Jeng-Dao Lee
Page(s): 302 - 317
10. Adaptive Hidden Markov Model With Anomaly States for Price Manipulation Detection
Author(s): Yi Cao; Yuhua Li; Sonya Coleman; Ammar Belatreche; Thomas Martin McGinnity
Page(s): 318 - 330
11. Consensus-Based Distributed Cooperative Learning From Closed-Loop Neural Control Systems
Author(s): Weisheng Chen; Shaoyong Hua; Huaguang Zhang
Page(s): 331 - 345
12. MEC—A Near-Optimal Online Reinforcement Learning Algorithm for Continuous Deterministic Systems
Author(s): Dongbin Zhao; Yuanheng Zhu
Page(s): 346 - 356
13. Passivity of Switched Recurrent Neural Networks With Time-Varying Delays
Author(s): Jie Lian; Jun Wang
Page(s): 357 - 366
14. A Parametric Classification Rule Based on the Exponentially Embedded Family
Author(s): Bo Tang; Haibo He; Quan Ding; Steven Kay
Page(s): 367 - 377
15. VC-Dimension of Univariate Decision Trees
Author(s): Olcay Taner Yildiz
Page(s): 378 - 387
16. Delay-Based Reservoir Computing: Noise Effects in a Combined Analog and Digital Implementation
Author(s): Miguel C. Soriano; Silvia Ortin; Lars Keuninckx; Lennert Appeltant; Jan Danckaert; Luis Pesquera; Guy Van der Sande
Page(s): 388 - 393
17. Non-Divergence of Stochastic Discrete Time Algorithms for PCA Neural Networks
Author(s): Jian Cheng Lv; Zhang Yi; Yunxia Li
Page(s): 394 - 399
18. Asymmetric Mixture Model With Simultaneous Feature Selection and Model Detection
Author(s): Thanh Minh Nguyen; Q. M. Jonathan Wu; Hui Zhang
Page(s): 400 - 408
19. Optimal Codesign of Nonlinear Control Systems Based on a Modified Policy Iteration Method
Author(s): Yu Jiang; Yebin Wang; Scott A. Bortoff; Zhong-Ping Jiang
Page(s): 409 - 414
Author(s): Qingsong Zhu; Ling Shao; Xuelong Li; Lei Wang
Page(s): 185 - 207
2. Kernel Association for Classification and Prediction: A Survey
Author(s): Yuichi Motai
Page(s): 208 - 223
3. Modified Neural Dynamic Surface Approach to Output Feedback of MIMO Nonlinear Systems
Author(s): Guofa Sun; Dongwu Li; Xuemei Ren
Page(s): 224 - 236
4. Efficient $l_{1}$-Norm-Based Low-Rank Matrix Approximations for Large-Scale Problems Using Alternating Rectified Gradient Method
Author(s): Eunwoo Kim; Minsik Lee; Chong-Ho Choi; Nojun Kwak; Songhwai Oh
Page(s): 237 - 251
5. Semisupervised Feature Selection via Spline Regression for Video Semantic Recognition Constraints
Author(s): Yahong Han; Yi Yang; Yan Yan; Zhigang Ma; Nicu Sebe; Xiaofang Zhou
Page(s): 252 - 264
6. A Scalable Projective Scaling Algorithm for $l_{p}$ Loss With Convex Penalizations
Author(s): Hongbo Zhou; Qiang Cheng
Page(s): 265 - 276
7. Scatter Balance: An Angle-Based Supervised Dimensionality Reduction
Author(s): Shenglan Liu; Lin Feng; Hong Qiao
Page(s): 277 - 289
8. Consensus in Continuous-Time Multiagent Systems Under Discontinuous Nonlinear Protocols
Author(s): Bo Liu; Wenlian Lu; Tianping Chen
Page(s): 290 - 301
9. Backstepping Fuzzy-Neural-Network Control Design for Hybrid Maglev Transportation System
Author(s): Rong-Jong Wai; Jing-Xiang Yao; Jeng-Dao Lee
Page(s): 302 - 317
10. Adaptive Hidden Markov Model With Anomaly States for Price Manipulation Detection
Author(s): Yi Cao; Yuhua Li; Sonya Coleman; Ammar Belatreche; Thomas Martin McGinnity
Page(s): 318 - 330
11. Consensus-Based Distributed Cooperative Learning From Closed-Loop Neural Control Systems
Author(s): Weisheng Chen; Shaoyong Hua; Huaguang Zhang
Page(s): 331 - 345
12. MEC—A Near-Optimal Online Reinforcement Learning Algorithm for Continuous Deterministic Systems
Author(s): Dongbin Zhao; Yuanheng Zhu
Page(s): 346 - 356
13. Passivity of Switched Recurrent Neural Networks With Time-Varying Delays
Author(s): Jie Lian; Jun Wang
Page(s): 357 - 366
14. A Parametric Classification Rule Based on the Exponentially Embedded Family
Author(s): Bo Tang; Haibo He; Quan Ding; Steven Kay
Page(s): 367 - 377
15. VC-Dimension of Univariate Decision Trees
Author(s): Olcay Taner Yildiz
Page(s): 378 - 387
16. Delay-Based Reservoir Computing: Noise Effects in a Combined Analog and Digital Implementation
Author(s): Miguel C. Soriano; Silvia Ortin; Lars Keuninckx; Lennert Appeltant; Jan Danckaert; Luis Pesquera; Guy Van der Sande
Page(s): 388 - 393
17. Non-Divergence of Stochastic Discrete Time Algorithms for PCA Neural Networks
Author(s): Jian Cheng Lv; Zhang Yi; Yunxia Li
Page(s): 394 - 399
18. Asymmetric Mixture Model With Simultaneous Feature Selection and Model Detection
Author(s): Thanh Minh Nguyen; Q. M. Jonathan Wu; Hui Zhang
Page(s): 400 - 408
19. Optimal Codesign of Nonlinear Control Systems Based on a Modified Policy Iteration Method
Author(s): Yu Jiang; Yebin Wang; Scott A. Bortoff; Zhong-Ping Jiang
Page(s): 409 - 414
Subscribe to:
Posts (Atom)
Posts
