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Wing W. Y. Ng

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2008
13EEWing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang: The Localized Generalization Error Model for Single Layer Perceptron Neural Network and Sigmoid Support Vector Machine. IJPRAI 22(1): 121-135 (2008)
12EEAki P. F. Chan, Patrick P. K. Chan, Wing W. Y. Ng, Eric C. C. Tsang, Daniel S. Yeung: A Novel Feature Grouping Method for Ensemble Neural Network Using Localized Generalization Error Model. IJPRAI 22(1): 137-151 (2008)
11EEWing W. Y. Ng, Daniel S. Yeung, Michael Firth, Eric C. C. Tsang, Xizhao Wang: Feature selection using localized generalization error for supervised classification problems using RBFNN. Pattern Recognition 41(12): 3706-3719 (2008)
2007
10EEWing W. Y. Ng, Binbin Sun, Daniel S. Yeung, Xizhao Wang: Heuristic improvement for active learning using localized generalization error as selection criterion. SMC 2007: 3588-3593
9EEDaniel S. Yeung, Wing W. Y. Ng, Defeng Wang, Eric C. C. Tsang, Xizhao Wang: Localized Generalization Error Model and Its Application to Architecture Selection for Radial Basis Function Neural Network. IEEE Transactions on Neural Networks 18(5): 1294-1305 (2007)
8EEDaniel S. Yeung, Defeng Wang, Wing W. Y. Ng, Eric C. C. Tsang, Xizhao Wang: Structured large margin machines: sensitive to data distributions. Machine Learning 68(2): 171-200 (2007)
7EEWing W. Y. Ng, Andrés Dorado, Daniel S. Yeung, Witold Pedrycz, Ebroul Izquierdo: Image classification with the use of radial basis function neural networks and the minimization of the localized generalization error. Pattern Recognition 40(1): 19-32 (2007)
6EEWing W. Y. Ng, Daniel S. Yeung, Defeng Wang, Eric C. C. Tsang, Xizhao Wang: Localized Generalization Error of Gaussian-based Classifiers and Visualization of Decision Boundaries. Soft Comput. 11(4): 375-381 (2007)
2006
5EEMing Lu, Daniel S. Yeung, Wing W. Y. Ng: Applying undistorted neural network sensitivity analysis in iris plant classification and construction productivity prediction. Soft Comput. 10(1): 68-77 (2006)
2005
4EEAki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang, Wing W. Y. Ng: Empirical Study on Fusion Methods Using Ensemble of RBFNN for Network Intrusion Detection. ICMLC 2005: 682-690
3EEWing W. Y. Ng, Aki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang: Construction of High Precision RBFNN with Low False Alarm for Detecting Flooding Based Denial of Service Attacks Using Stochastic Sensitivity Measure. ICMLC 2005: 851-860
2EEAki P. F. Chan, Wing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang: Multiple Classifier System with Feature Grouping for Intrusion Detection: Mutual Information Approach. KES (3) 2005: 141-148
2004
1EEWing W. Y. Ng, Daniel S. Yeung, Ian Cloete: Quantitative study on effect of center selection to RBFNN classification performance. SMC (4) 2004: 3692-3697

Coauthor Index

1Aki P. F. Chan [2] [3] [4] [12]
2Patrick P. K. Chan [12]
3Ian Cloete [1]
4Andrés Dorado [7]
5Michael Firth [11]
6Ebroul Izquierdo [7]
7Ming Lu [5]
8Witold Pedrycz [7]
9Binbin Sun [10]
10Eric C. C. Tsang [2] [3] [4] [6] [8] [9] [11] [12] [13]
11Defeng Wang [6] [8] [9]
12Xizhao Wang [6] [8] [9] [10] [11]
13Daniel S. Yeung [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13]

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)