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ORCIDIEEE Transactions on Neural Networks and Learning Systems, Volume 23
Volume 23, Number 1, January 2012
- Bart Baesens, Pantelis Bouboulis, Sergio Cruces, Carlotta Domeniconi, Shiro Ikeda
, Xuelong Li, Patricia Melin, Vadrevu Sree Hari Rao, Björn W. Schuller, Yi Shen, Huajin Tang, Cong Wang, Jian Yang, Derong Zhao, Derong Liu:
Neural Networks and Learning Systems Come Together. 1-6 - Simone G. O. Fiori:
Extended Hamiltonian Learning on Riemannian Manifolds: Numerical Aspects. 7-21 - Badong Chen, Songlin Zhao, Pingping Zhu, José Carlos Príncipe:
Quantized Kernel Least Mean Square Algorithm. 22-32 - Peng Wang, Chunhua Shen, Nick Barnes, Hong Zheng:
Fast and Robust Object Detection Using Asymmetric Totally Corrective Boosting. 33-46 - Sohan Seth, José Carlos Príncipe:
Assessing Granger Non-Causality Using Nonparametric Measure of Conditional Independence. 47-59 - Xinsong Yang, Jinde Cao, Jianquan Lu:
Synchronization of Markovian Coupled Neural Networks With Nonidentical Node-Delays and Random Coupling Strengths. 60-71 - Chung-Chian Hsu, Shu-Han Lin:
Visualized Analysis of Mixed Numeric and Categorical Data Via Extended Self-Organizing Map. 72-86 - Yi Shen, Jun Wang:
Robustness Analysis of Global Exponential Stability of Recurrent Neural Networks in the Presence of Time Delays and Random Disturbances. 87-96 - Manjeevan Seera, Chee Peng Lim, Dahaman Ishak, Harapajan Singh:
Fault Detection and Diagnosis of Induction Motors Using Motor Current Signature Analysis and a Hybrid FMM-CART Model. 97-108 - Boudour Ammar, Farouk Chérif, Adel M. Alimi:
Existence and Uniqueness of Pseudo Almost-Periodic Solutions of Recurrent Neural Networks With Time-Varying Coefficients and Mixed Delays. 109-118 - Daniel Lopez-Echeverria, Mario E. Magaña:
Variable Sampling Approach to Mitigate Instability in Networked Control Systems With Delays. 119-126 - Farid Oveisi, Shahrzad Oveisi, Abbas Erfanian, Ioannis Patras:
Tree-Structured Feature Extraction Using Mutual Information. 127-137 - Artemis K. Kostarigka, George A. Rovithakis:
Adaptive Dynamic Output Feedback Neural Network Control of Uncertain MIMO Nonlinear Systems With Prescribed Performance. 138-149 - Hui Wei, Xiaomei Wang, Loi Lei Lai:
Compact Image Representation Model Based on Both nCRF and Reverse Control Mechanisms. 150-162 - Kasper Winther Jørgensen, Lars Kai Hansen:
Model Selection for Gaussian Kernel PCA Denoising. 163-168 - Ilya Gluhovsky:
Multinomial Least Angle Regression. 169-174 - Bai Zhang, David J. Miller, Yue Joseph Wang:
Nonlinear System Modeling With Random Matrices: Echo State Networks Revisited. 175-182
Volume 23, Number 2, February 2012
- Xiangyu Kong, Changhua Hu, Hongguang Ma, Chongzhao Han:
A Unified Self-Stabilizing Neural Network Algorithm for Principal and Minor Components Extraction. 185-198 - Zhengguang Wu, James Lam, Hongye Su, Jian Chu:
Stability and Dissipativity Analysis of Static Neural Networks With Time Delay. 199-210 - John Sum, Chi-Sing Leung, Kevin I.-J. Ho:
On-Line Node Fault Injection Training Algorithm for MLP Networks: Objective Function and Convergence Analysis. 211-222 - Wenjie Dong, Yuanyuan Zhao, Yiming Chen, Jay A. Farrell:
Tracking Control for Nonaffine Systems: A Self-Organizing Approximation Approach. 223-235 - Xinjun Peng, Yifei Wang:
Geometric Algorithms to Large Margin Classifier Based on Affine Hulls. 236-246 - Wen Yao, Xiaoqian Chen, Yong Zhao, Michel van Tooren:
Concurrent Subspace Width Optimization Method for RBF Neural Network Modeling. 247-259 - Konstantinos Slavakis, Pantelis Bouboulis, Sergios Theodoridis:
Adaptive Multiregression in Reproducing Kernel Hilbert Spaces: The Multiaccess MIMO Channel Case. 260-276 - Yingwei Zhang, Tianyou Chai, Zhiming Li, Chunyu Yang:
Modeling and Monitoring of Dynamic Processes. 277-284 - Jianquan Lu, Jürgen Kurths, Jinde Cao, Nariman Mahdavi, Chi Huang:
Synchronization Control for Nonlinear Stochastic Dynamical Networks: Pinning Impulsive Strategy. 285-292 - Zhigang Zeng, Wei Xing Zheng:
Multistability of Neural Networks With Time-Varying Delays and Concave-Convex Characteristics. 293-305 - Shengli Xie, Liu Yang, Jun-Mei Yang, Guoxu Zhou, Yong Xiang:
Time-Frequency Approach to Underdetermined Blind Source Separation. 306-316 - Eng-Yeow Cheu, Chai Quek, See-Kiong Ng:
ARPOP: An Appetitive Reward-Based Pseudo-Outer-Product Neural Fuzzy Inference System Inspired From the Operant Conditioning of Feeding Behavior in Aplysia. 317-329 - Rui Zhang, Zongben Xu, Guang-Bin Huang, Dianhui Wang:
Global Convergence of Online BP Training With Dynamic Learning Rate. 330-341 - Hong-Gui Han, Junfei Qiao:
Adaptive Computation Algorithm for RBF Neural Network. 342-347 - Paul Rogister, Ryad Benosman, Sio-Hoi Ieng, Patrick Lichtsteiner, Tobi Delbrück:
Asynchronous Event-Based Binocular Stereo Matching. 347-353 - Khaled Masmoudi, Marc Antonini, Pierre Kornprobst:
Frames for Exact Inversion of the Rank Order Coder. 353-359 - Dezhong Peng, Zhang Yi, Yong Xiang, Haixian Zhang:
A Globally Convergent MC Algorithm With an Adaptive Learning Rate. 359-365 - Rui Zhang, Yuan Lan, Guang-Bin Huang, Zongben Xu:
Universal Approximation of Extreme Learning Machine With Adaptive Growth of Hidden Nodes. 365-371
Volume 23, Number 3, March 2012
- Zhijun Yang, Katherine L. Cameron, William A. Lewinger, Barbara Webb, Alan F. Murray:
Neuromorphic Control of Stepping Pattern Generation: A Dynamic Model With Analog Circuit Implementation. 373-384 - Thiago Christiano Silva, Liang Zhao:
Stochastic Competitive Learning in Complex Networks. 385-398 - Wei Bian, Xiaojun Chen:
Smoothing Neural Network for Constrained Non-Lipschitz Optimization With Applications. 399-411 - Alexandros Iosifidis, Anastasios Tefas, Ioannis Pitas:
View-Invariant Action Recognition Based on Artificial Neural Networks. 412-424 - Pantelis Bouboulis, Konstantinos Slavakis, Sergios Theodoridis:
Adaptive Learning in Complex Reproducing Kernel Hilbert Spaces Employing Wirtinger's Subgradients. 425-438 - Jun Zhao, Quanli Liu, Wei Wang, Witold Pedrycz, Liqun Cong:
Hybrid Neural Prediction and Optimized Adjustment for Coke Oven Gas System in Steel Industry. 439-450 - Thiago Christiano Silva, Liang Zhao:
Network-Based Stochastic Semisupervised Learning. 451-466 - Quanxin Zhu, Jinde Cao:
Stability Analysis of Markovian Jump Stochastic BAM Neural Networks With Impulse Control and Mixed Time Delays. 467-479 - Shuiming Zhong, Xiaoqin Zeng, Shengli Wu, Lixin Han:
Sensitivity-Based Adaptive Learning Rules for Binary Feedforward Neural Networks. 480-491 - Jianhua Zhao, Philip L. H. Yu, James T. Kwok:
Bilinear Probabilistic Principal Component Analysis. 492-503 - Lixin Duan, Dong Xu, Ivor Wai-Hung Tsang:
Domain Adaptation From Multiple Sources: A Domain-Dependent Regularization Approach. 504-518 - Yi Huang, Dong Xu, Feiping Nie:
Semi-Supervised Dimension Reduction Using Trace Ratio Criterion. 519-526 - Stefanos Zafeiriou, Georgios Tzimiropoulos, Maria Petrou, Tania Stathaki:
Regularized Kernel Discriminant Analysis With a Robust Kernel for Face Recognition and Verification. 526-534 - Antonio Peñalver Benavent, Francisco Escolano:
Entropy-Based Incremental Variational Bayes Learning of Gaussian Mixtures. 534-540
Volume 23, Number 4, April 2012
- Akira Hirose, Shotaro Yoshida:
Generalization Characteristics of Complex-Valued Feedforward Neural Networks in Relation to Signal Coherence. 541-551 - Jekanthan Thangavelautham, Gabriele M. T. D'Eleuterio:
Tackling Learning Intractability Through Topological Organization and Regulation of Cortical Networks. 552-564 - Kurtis D. Cantley, Anand Subramaniam, Harvey J. Stiegler, Richard A. Chapman, Eric M. Vogel:
Neural Learning Circuits Utilizing Nano-Crystalline Silicon Transistors and Memristors. 565-573 - Julie A. Wall, Liam McDaid, Liam P. Maguire, Thomas Martin McGinnity:
Spiking Neural Network Model of Sound Localization Using the Interaural Intensity Difference. 574-586 - Jiamei Deng, Bastian Maass, Richard K. Stobart:
Minimum Data Requirement for Neural Networks Based on Power Spectral Density Analysis. 587-595 - André Stuhlsatz, Jens Lippel, Thomas Zielke:
Feature Extraction With Deep Neural Networks by a Generalized Discriminant Analysis. 596-608 - Tiantian Xie, Hao Yu, Joel D. Hewlett, Pawel Rózycki, Bogdan M. Wilamowski:
Fast and Efficient Second-Order Method for Training Radial Basis Function Networks. 609-619 - Stefan Ulbrich, Vicente Ruiz de Angulo, Tamim Asfour, Carme Torras, Rüdiger Dillmann:
General Robot Kinematics Decomposition Without Intermediate Markers. 620-630 - Duncan A. J. Blythe, Paul von Bünau, Frank C. Meinecke, Klaus-Robert Müller:
Feature Extraction for Change-Point Detection Using Stationary Subspace Analysis. 631-643 - Joon-Ku Im, Daniel W. Apley, George C. Runger:
Tangent Hyperplane Kernel Principal Component Analysis for Denoising. 644-656 - Jaroslaw Michalkiewicz:
Modified Kolmogorov's Neural Network in the Identification of Hammerstein and Wiener Systems. 657-662 - Wuneng Zhou, Dongbing Tong, Yan Gao, Chuan Ji, Hongye Su:
Mode and Delay-Dependent Adaptive Exponential Synchronization in pth Moment for Stochastic Delayed Neural Networks With Markovian Switching. 662-668 - Charalampos P. Bechlioulis, George A. Rovithakis:
A Priori Guaranteed Evolution Within the Neural Network Approximation Set and Robustness Expansion via Prescribed Performance Control. 669-675 - Yi Xiao, Yuxin Liu, Chi-Sing Leung, Pui-Fai Sum, Kevin Ho:
Analysis on the Convergence Time of Dual Neural Network-Based WTA. 676-682 - Dries Geebelen, Johan A. K. Suykens, Joos Vandewalle:
Reducing the Number of Support Vectors of SVM Classifiers Using the Smoothed Separable Case Approximation. 682-688
Volume 23, Number 5, May 2012
- Yunyun Wang, Songcan Chen, Zhi-Hua Zhou:
New Semi-Supervised Classification Method Based on Modified Cluster Assumption. 689-702 - Bin Gao, Wai Lok Woo, Satnam Singh Dlay:
Variational Regularized 2-D Nonnegative Matrix Factorization. 703-716 - Izzet Cem Göknar, Merih Yildiz, Shahram Minaei, Engin Deniz:
Neural CMOS-Integrated Circuit and Its Application to Data Classification. 717-724 - Derui Ding, Zidong Wang, Bo Shen, Huisheng Shu:
H∞ State Estimation for Discrete-Time Complex Networks With Randomly Occurring Sensor Saturations and Randomly Varying Sensor Delays. 725-736 - Hong Li, Na Chen, Luoqing Li:
Error Analysis for Matrix Elastic-Net Regularization Algorithms. 737-748 - Sangwoo Moon, Hairong Qi:
Hybrid Dimensionality Reduction Method Based on Support Vector Machine and Independent Component Analysis. 749-761 - Wentao Fan, Nizar Bouguila, Djemel Ziou:
Variational Learning for Finite Dirichlet Mixture Models and Applications. 762-774 - Dahir H. Dini, Danilo P. Mandic:
Class of Widely Linear Complex Kalman Filters. 775-786 - Decai Li, Min Han, Jun Wang:
Chaotic Time Series Prediction Based on a Novel Robust Echo State Network. 787-799 - Bin Gu, Jiandong Wang, Guansheng Zheng, Yuecheng Yu:
Regularization Path for ν-Support Vector Classification. 800-811 - Youshen Xia, Changyin Sun, Wei Xing Zheng:
Discrete-Time Neural Network for Fast Solving Large Linear L1 Estimation Problems and its Application to Image Restoration. 812-820 - Xiaolin Hu, Jun Wang:
Solving the Assignment Problem Using Continuous-Time and Discrete-Time Improved Dual Networks. 821-827 - Dan Zhang, Li Yu, Qing-Guo Wang, Chong Jin Ong:
Estimator Design for Discrete-Time Switched Neural Networks With Asynchronous Switching and Time-Varying Delay. 827-834 - Lingfei Zhi, Jun Chen, Peter Molnar, Aman Behal:
Weighted Least-Squares Approach for Identification of a Reduced-Order Adaptive Neuronal Model. 834-840 - Rui Li, Tianguang Chu:
Complete Synchronization of Boolean Networks. 840-846 - Narine Manukyan, Margaret J. Eppstein, Donna M. Rizzo:
Data-Driven Cluster Reinforcement and Visualization in Sparsely-Matched Self-Organizing Maps. 846-852
Volume 23, Number 6, 2012
- Jin Hu, Jun Wang:
Global Stability of Complex-Valued Recurrent Neural Networks With Time-Delays. 853-865 - Tingwen Huang, Chuandong Li, Shukai Duan, Janusz A. Starzyk:
Robust Exponential Stability of Uncertain Delayed Neural Networks With Stochastic Perturbation and Impulse Effects. 866-875 - Sujing Wang, Jian Yang, Mingfang Sun, Xu-Jun Peng, Mingming Sun, Chunguang Zhou:
Sparse Tensor Discriminant Color Space for Face Verification. 876-888 - Kirill Minkovich, Narayan Srinivasa, Jose M. Cruz-Albrecht, Youngkwan Cho, Aleksey Nogin:
Programming Time-Multiplexed Reconfigurable Hardware Using a Scalable Neuromorphic Compiler. 889-901 - Lin Chen, Ivor W. Tsang, Dong Xu:
Laplacian Embedded Regression for Scalable Manifold Regularization. 902-915 - João Ranhel:
Neural Assembly Computing. 916-927 - Jin Zhang, Guoqing Chen, Xiaohui Tang:
Extracting Representative Information to Enhance Flexible Data Queries. 928-941 - Jinling Liang, Zidong Wang, Xiaohui Liu, Panos Louvieris:
Robust Synchronization for 2-D Discrete-Time Coupled Dynamical Networks. 942-953 - Thiago Christiano Silva, Liang Zhao:
Network-Based High Level Data Classification. 954-970 - Vu Anh Nguyen, Janusz A. Starzyk, Wooi-Boon Goh, Daniel Jachyra:
Neural Network Structure for Spatio-Temporal Long-Term Memory. 971-983 - Angelo Alessandri, Mauro Gaggero, Riccardo Zoppoli:
Feedback Optimal Control of Distributed Parameter Systems by Using Finite-Dimensional Approximation Schemes. 984-996 - Feng Cai, Vladimir Cherkassky:
Generalized SMO Algorithm for SVM-Based Multitask Learning. 997-1003 - Yuxi Hou, Iickho Song, Hwang-Ki Min, Cheol Hoon Park:
Complexity-Reduced Scheme for Feature Extraction With Linear Discriminant Analysis. 1003-1009
Volume 23, Number 7, July 2012
- Zongben Xu, Xiangyu Chang, Fengmin Xu, Hai Zhang:
L1/2 Regularization: A Thresholding Representation Theory and a Fast Solver. 1013-1027 - Weizhong Yan:
Toward Automatic Time-Series Forecasting Using Neural Networks. 1028-1039 - Markos Papadonikolakis, Christos-Savvas Bouganis:
Novel Cascade FPGA Accelerator for Support Vector Machines Classification. 1040-1052 - Juan Ignacio Mulero Martínez:
Robust GRBF Static Neurocontroller With Switch Logic for Control of Robot Manipulators. 1053-1064 - Hung-Yi Hsieh, Kea-Tiong Tang:
VLSI Implementation of a Bio-Inspired Olfactory Spiking Neural Network. 1065-1073 - Chun-Wei Seah, Ivor W. Tsang, Yew-Soon Ong:
Transductive Ordinal Regression. 1074-1086 - Naiyang Guan, Dacheng Tao, Zhigang Luo, Bo Yuan:
Online Nonnegative Matrix Factorization With Robust Stochastic Approximation. 1087-1099 - Haibo He, Yuan Cao:
SSC: A Classifier Combination Method Based on Signal Strength. 1100-1117 - Travis Dierks, Sarangapani Jagannathan:
Online Optimal Control of Affine Nonlinear Discrete-Time Systems With Unknown Internal Dynamics by Using Time-Based Policy Update. 1118-1129 - Hassan A. Kingravi, Girish Chowdhary, Patricio A. Vela, Eric N. Johnson:
Reproducing Kernel Hilbert Space Approach for the Online Update of Radial Bases in Neuro-Adaptive Control. 1130-1141 - Jorge López Lázaro, José R. Dorronsoro:
Simple Proof of Convergence of the SMO Algorithm for Different SVM Variants. 1142-1147 - Chi-Sing Leung, John Sum:
RBF Networks Under the Concurrent Fault Situation. 1148-1155 - An-Min Zou, Krishna Dev Kumar:
Neural Network-Based Distributed Attitude Coordination Control for Spacecraft Formation Flying With Input Saturation. 1155-1162 - Qinmin Yang, Zaiyue Yang, Youxian Sun:
Universal Neural Network Control of MIMO Uncertain Nonlinear Systems. 1163-1169 - Konstantinos Nikolaidis, Eduardo Rodriguez-Martinez, John Yannis Goulermas, Q. Henry Wu:
Spectral Graph Optimization for Instance Reduction. 1169-1175
Volume 23, Number 8, 2012
- Seniha Esen Yüksel, Joseph N. Wilson, Paul D. Gader:
Twenty Years of Mixture of Experts. 1177-1193 - Wei Bian, Dacheng Tao:
Constrained Empirical Risk Minimization Framework for Distance Metric Learning. 1194-1205 - Dongyue Chen, Hao Chu:
Scale-Invariant Amplitude Spectrum Modulation for Visual Saliency Detection. 1206-1214 - Hamid Reza Mahdiani, Sied Mehdi Fakhraie, Caro Lucas:
Relaxed Fault-Tolerant Hardware Implementation of Neural Networks in the Presence of Multiple Transient Errors. 1215-1228 - Djamel Bouchaffra:
Mapping Dynamic Bayesian Networks to Alpha -Shapes: Application to Human Faces Identification Across Ages. 1229-1241 - Sabri Boutemedjet, Djemel Ziou:
Predictive Approach for User Long-Term Needs in Content-Based Image Suggestion. 1242-1253 - Yuan Cao, Haibo He, Hong Man:
SOMKE: Kernel Density Estimation Over Data Streams by Sequences of Self-Organizing Maps. 1254-1268 - Li-Chiu Chang, Pin-An Chen, Fi-John Chang:
Reinforced Two-Step-Ahead Weight Adjustment Technique for Online Training of Recurrent Neural Networks. 1269-1278 - Dongbing Gu, Huosheng Hu:
Spatial Gaussian Process Regression With Mobile Sensor Networks. 1279-1290 - Tingting Mu, Jianmin Jiang, Yan Wang, John Yannis Goulermas:
Adaptive Data Embedding Framework for Multiclass Classification. 1291-1303 - Jose G. Moreno-Torres, José A. Sáez, Francisco Herrera:
Study on the Impact of Partition-Induced Dataset Shift on k -Fold Cross-Validation. 1304-1312 - Steven Van Vaerenbergh, Miguel Lázaro-Gredilla, Ignacio Santamaría:
Kernel Recursive Least-Squares Tracker for Time-Varying Regression. 1313-1326 - Fernando Ornelas-Tellez, Edgar N. Sánchez, Alexander G. Loukianov:
Discrete-Time Neural Inverse Optimal Control for Nonlinear Systems via Passivation. 1327-1339 - Michael R. W. Dawson, Brian Dupuis:
Equilibria of Perceptrons for Simple Contingency Problems. 1340-1344
Volume 23, Number 9, September 2012
- Xiao-Zheng Jin, Guang-Hong Yang, Wei-Wei Che:
Adaptive Pinning Control of Deteriorated Nonlinear Coupling Networks With Circuit Realization. 1345-1355 - Siamak Mehrkanoon, Tillmann Falck, Johan A. K. Suykens:
Approximate Solutions to Ordinary Differential Equations Using Least Squares Support Vector Machines. 1356-1367 - Zhengguang Wu, Peng Shi, Hongye Su, Jian Chu:
Exponential Synchronization of Neural Networks With Discrete and Distributed Delays Under Time-Varying Sampling. 1368-1376 - Aurele Balavoine, Justin K. Romberg, Christopher J. Rozell:
Convergence and Rate Analysis of Neural Networks for Sparse Approximation. 1377-1389 - Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella:
In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector Machines. 1390-1406 - Jianping Zhou, Shengyuan Xu, Baoyong Zhang, Yun Zou, Hao Shen:
Robust Exponential Stability of Uncertain Stochastic Neural Networks With Distributed Delays and Reaction-Diffusions. 1407-1416 - Duy Nguyen-Tuong, Jan Peters:
Online Kernel-Based Learning for Task-Space Tracking Robot Control. 1417-1425 - Shyam Prasad Adhikari, Changju Yang, Hyongsuk Kim, Leon O. Chua:
Memristor Bridge Synapse-Based Neural Network and Its Learning. 1426-1435 - Leon Wenliang Zhong, James T. Kwok:
Efficient Sparse Modeling With Automatic Feature Grouping. 1436-1447 - Francesco Bellocchio, Stefano Ferrari, Vincenzo Piuri, N. Alberto Borghese:
Hierarchical Approach for Multiscale Support Vector Regression. 1448-1460 - Chao Zhang, Wei Bian, Dacheng Tao, Weisi Lin:
Discretized-Vapnik-Chervonenkis Dimension for Analyzing Complexity of Real Function Classes. 1461-1472 - Mauro Di Marco, Mauro Forti, Massimo Grazzini, Luca Pancioni:
Limit Set Dichotomy and Multistability for a Class of Cooperative Neural Networks With Delays. 1473-1485 - Juan Huo, Alan F. Murray, Dongqing Wei:
Adaptive Visual and Auditory Map Alignment in Barn Owl Superior Colliculus and Its Neuromorphic Implementation. 1486-1497 - Yimin Yang, Yaonan Wang, Xiaofang Yuan:
Bidirectional Extreme Learning Machine for Regression Problem and Its Learning Effectiveness. 1498-1505 - Xiaoming Liang, Liang Zhao, Zonghua Liu:
Enhancing Weak Signal Transmission Through a Feedforward Network. 1506-1512
Volume 23, Number 10, October 2012
- Thomas Dowrick, Steve Hall, Liam McDaid:
Silicon-Based Dynamic Synapse With Depressing Response. 1513-1525 - Narayan Srinivasa, Youngkwan Cho:
Self-Organizing Spiking Neural Model for Learning Fault-Tolerant Spatio-Motor Transformations. 1526-1538 - Cong Wang, Min Wang, Tengfei Liu, David J. Hill:
Learning From ISS-Modular Adaptive NN Control of Nonlinear Strict-Feedback Systems. 1539-1550 - Wangli He, Feng Qian, Qing-Long Han, Jinde Cao:
Synchronization Error Estimation and Controller Design for Delayed Lur'e Systems With Parameter Mismatches. 1551-1563 - Milos Krejnik, Anton Tyutin:
Reproducing Kernel Hilbert Spaces With Odd Kernels in Price Prediction. 1564-1573 - Wenwen Wang, Budhitama Subagdja, Ah-Hwee Tan, Janusz A. Starzyk:
Neural Modeling of Episodic Memory: Encoding, Retrieval, and Forgetting. 1574-1586 - Praisan Padungweang, Chidchanok Lursinsap, Khamron Sunat:
A Discrimination Analysis for Unsupervised Feature Selection via Optic Diffraction Principle. 1587-1600 - Zuyuan Yang, Yong Xiang, Shengli Xie, Shuxue Ding, Yue Rong:
Nonnegative Blind Source Separation by Sparse Component Analysis Based on Determinant Measure. 1601-1610 - Mathieu Ramona, Gaël Richard, Bertrand David:
Multiclass Feature Selection With Kernel Gram-Matrix-Based Criteria. 1611-1623 - Stephan Liwicki, Stefanos Zafeiriou, Georgios Tzimiropoulos, Maja Pantic:
Efficient Online Subspace Learning With an Indefinite Kernel for Visual Tracking and Recognition. 1624-1636 - Tim Waegeman, Francis Wyffels, Benjamin Schrauwen:
Feedback Control by Online Learning an Inverse Model. 1637-1648 - Thuan Q. Huynh, James A. Reggia:
Symbolic Representation of Recurrent Neural Network Dynamics. 1649-1658 - Yongli Song, Jian Xu:
Inphase and Antiphase Synchronization in a Delay-Coupled System With Applications to a Delay-Coupled FitzHugh-Nagumo System. 1659-1670 - Michael Fairbank, Eduardo Alonso, Danil V. Prokhorov:
Simple and Fast Calculation of the Second-Order Gradients for Globalized Dual Heuristic Dynamic Programming in Neural Networks. 1671-1676
Volume 23, Number 11, November 2012
- Mau-Hsiang Shih, Feng-Sheng Tsai:
Decirculation Process in Neural Network Dynamics. 1677-1689 - Gao Huang, Shiji Song, Cheng Wu, Keyou You:
Robust Support Vector Regression for Uncertain Input and Output Data. 1690-1700 - Sjoerd van den Dries, Marco A. Wiering:
Neural-Fitted TD-Leaf Learning for Playing Othello With Structured Neural Networks. 1701-1713 - Jeng-Tze Huang:
Global Tracking Control of Strict-Feedback Systems Using Neural Networks. 1714-1725 - Roman Ilin:
Unsupervised Learning of Categorical Data With Competing Models. 1726-1737 - Shiming Xiang, Feiping Nie, Gaofeng Meng, Chunhong Pan, Changshui Zhang:
Discriminative Least Squares Regression for Multiclass Classification and Feature Selection. 1738-1754 - Bipul Luitel, Ganesh Kumar Venayagamoorthy:
Decentralized Asynchronous Learning in Cellular Neural Networks. 1755-1766 - Timothy Hancock, Hiroshi Mamitsuka:
Boosted Network Classifiers for Local Feature Selection. 1767-1778 - Rodrigo G. F. Soares, Huanhuan Chen, Xin Yao:
Semisupervised Classification With Cluster Regularization. 1779-1792 - Canh Hao Nguyen, Hiroshi Mamitsuka:
Latent Feature Kernels for Link Prediction on Sparse Graphs. 1793-1804 - Giacomo Capizzi, Christian Napoli, Francesco Bonanno:
Innovative Second-Generation Wavelets Construction With Recurrent Neural Networks for Solar Radiation Forecasting. 1805-1815 - Lili Wang, Tianping Chen:
Multistability of Neural Networks With Mexican-Hat-Type Activation Functions. 1816-1826 - John Sum, Chi-Sing Leung, Kevin Ho:
Convergence Analyses on On-Line Weight Noise Injection-Based Training Algorithms for MLPs. 1827-1840 - Christoph Bergmeir, Isaac Triguero, Daniel Molina, José Luis Aznarte, José Manuel Benítez:
Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-Switching Models. 1841-1847
Volume 23, Number 12, December 2012
- Stefano Melacci, Marco Gori:
Unsupervised Learning by Minimal Entropy Encoding. 1849-1861 - Sotirios P. Chatzis, Yiannis Demiris:
Nonparametric Mixtures of Gaussian Processes With Power-Law Behavior. 1862-1871 - Chao Zhang, Dacheng Tao:
Generalization Bounds of ERM-Based Learning Processes for Continuous-Time Markov Chains. 1872-1883 - Huai-Ning Wu, Biao Luo:
Neural Network Based Online Simultaneous Policy Update Algorithm for Solving the HJI Equation in Nonlinear H∞ Control. 1884-1895 - Raúl Santos-Rodríguez, Jesús Cid-Sueiro:
Cost-Sensitive Sequences of Bregman Divergences. 1896-1904 - Ming Sun, Yao-Qun Xu, Xuefeng Dai, Yuan Guo:
Noise-Tuning-Based Hysteretic Noisy Chaotic Neural Network for Broadcast Scheduling Problem in Wireless Multihop Networks. 1905-1918 - Ailong Wu, Zhigang Zeng:
Exponential Stabilization of Memristive Neural Networks With Time Delays. 1919-1929 - Suviseshamuthu Easter Selvan, Umberto Amato, Kyle A. Gallivan, Chunhong Qi, Maria Francesca Carfora, Michele Larobina, Bruno Alfano:
Descent Algorithms on Oblique Manifold for Source-Adaptive ICA Contrast. 1930-1947 - Zhihui Lai, Wai Keung Wong, Zhong Jin, Jian Yang, Yong Xu:
Sparse Approximation to the Eigensubspace for Discrimination. 1948-1960 - Yoshikazu Washizawa:
Adaptive Subset Kernel Principal Component Analysis for Time-Varying Patterns. 1961-1973 - Zhihong Man, Kevin Lee, Dianhui Wang, Zhenwei Cao, Suiyang Khoo:
Robust Single-Hidden Layer Feedforward Network-Based Pattern Classifier. 1974-1986 - Davide Bacciu, Alessio Micheli, Alessandro Sperduti:
Compositional Generative Mapping for Tree-Structured Data - Part I: Bottom-Up Probabilistic Modeling of Trees. 1987-2002 - Efraín Mayhua-López, Vanessa Gómez-Verdejo, Aníbal R. Figueiras-Vidal:
Real AdaBoost With Gate Controlled Fusion. 2003-2009
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