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Fast Sparse Approximation for Least Squares Support Vector Machine
IEEE transaction on neural networks and learning systems, 2007-05, Vol.18 (3), p.685-697
2007
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Scaling Up Support Vector Machines Using Nearest Neighbor Condensation
IEEE transaction on neural networks and learning systems, 2010-02, Vol.21 (2), p.351-357
2010
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Domain Adaptation via Transfer Component Analysis
IEEE transactions on neural networks, 2011-02, Vol.22 (2), p.199-210
2011
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Incremental Learning of Concept Drift in Nonstationary Environments
IEEE transactions on neural networks, 2011-10, Vol.22 (10), p.1517-1531
2011
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Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering
IEEE transactions on neural networks, 2011-11, Vol.22 (11), p.1796-1808
2011
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Normalized Mutual Information Feature Selection
IEEE transactions on neural networks, 2009-02, Vol.20 (2), p.189-201
2009
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Symmetric Nonnegative Matrix Factorization: Algorithms and Applications to Probabilistic Clustering
IEEE transactions on neural networks, 2011-12, Vol.22 (12), p.2117-2131
2011
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Local Linear Discriminant Analysis Framework Using Sample Neighbors
IEEE transactions on neural networks, 2011-07, Vol.22 (7), p.1119-1132
2011
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Exploiting Data Topology in Visualization and Clustering of Self-Organizing Maps
IEEE transactions on neural networks, 2009-04, Vol.20 (4), p.549-562
2009
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Objective Image Quality Assessment Based on Support Vector Regression
IEEE transactions on neural networks, 2010-03, Vol.21 (3), p.515-519
2010
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Structural Regularized Support Vector Machine: A Framework for Structural Large Margin Classifier
IEEE transactions on neural networks, 2011-04, Vol.22 (4), p.573-587
2011
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Approximate Confidence and Prediction Intervals for Least Squares Support Vector Regression
IEEE transactions on neural networks, 2011-01, Vol.22 (1), p.110-120
2011
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The Global Kernel k-Means Algorithm for Clustering in Feature Space
IEEE transactions on neural networks, 2009-07, Vol.20 (7), p.1181-1194
2009
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Face Recognition Using Total Margin-Based Adaptive Fuzzy Support Vector Machines
IEEE transactions on neural networks, 2007-01, Vol.18 (1), p.178-192
2007
Open Access
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Probabilistic Classification Vector Machines
IEEE transactions on neural networks, 2009-06, Vol.20 (6), p.901-914
2009
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Reduced Support Vector Machines: A Statistical Theory
IEEE transactions on neural networks, 2007-01, Vol.18 (1), p.1-13
2007
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Scalable Large-Margin Mahalanobis Distance Metric Learning
IEEE transactions on neural networks, 2010-09, Vol.21 (9), p.1524-1530
2010
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Boosting Through Optimization of Margin Distributions
IEEE transactions on neural networks, 2010-04, Vol.21 (4), p.659-666
2010
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Logistic Regression by Means of Evolutionary Radial Basis Function Neural Networks
IEEE transactions on neural networks, 2011-02, Vol.22 (2), p.246-263
2011
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Feature Selection Using Probabilistic Prediction of Support Vector Regression
IEEE transactions on neural networks, 2011-06, Vol.22 (6), p.954-962
2011
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Simple Method for High-Performance Digit Recognition Based on Sparse Coding
IEEE transactions on neural networks, 2008-11, Vol.19 (11), p.1985-1989
2008
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An Improved Algorithm for the Solution of the Regularization Path of Support Vector Machine
IEEE transactions on neural networks, 2010-03, Vol.21 (3), p.451-462
2010
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Design of a Neural Network Adaptive Controller via a Constrained Invariant Ellipsoids Technique
IEEE transactions on neural networks, 2011-04, Vol.22 (4), p.627-638
2011
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Just-in-Time Adaptive Classifiers-Part II: Designing the Classifier
IEEE transactions on neural networks, 2008-12, Vol.19 (12), p.2053-2064
2008
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Weighted Mahalanobis Distance Kernels for Support Vector Machines
IEEE transactions on neural networks, 2007-09, Vol.18 (5), p.1453-1462
2007
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ThemaComputer Systems And Distributed Systems. User Interface
Zeitschrift / SerieIeee Transactions On Neural Networks
SpracheJapanisch
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