Wing W. Y. Ng

	2009
14		Daniel S. Yeung, Patrick P. K. Chan, Wing W. Y. Ng: Radial Basis Function network learning using localized generalization error bound. Inf. Sci. 179(19): 3199-3217 (2009)
	2008
13		Wing 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)
12		Aki 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)
11		Wing 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
10		Wing 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
9		Daniel 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)
8		Daniel 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)
7		Wing 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)
6		Wing 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
5		Ming 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
4		Aki 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
3		Wing 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
2		Aki 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
1		Wing 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

1	Aki P. F. Chan	[2] [3] [4] [12]
2	Patrick P. K. Chan	[12] [14]
3	Ian Cloete	[1]
4	Andrés Dorado	[7]
5	Michael Firth	[11]
6	Ebroul Izquierdo	[7]
7	Ming Lu	[5]
8	Witold Pedrycz	[7]
9	Binbin Sun	[10]
10	Eric C. C. Tsang	[2] [3] [4] [6] [8] [9] [11] [12] [13]
11	Defeng Wang	[6] [8] [9]
12	Xizhao Wang	[6] [8] [9] [10] [11]
13	Daniel S. Yeung	[1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14]