Eric C. C. Tsang - researchr alias

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2010

2009

The Model of Fuzzy Variable Precision Rough SetsSuyun Zhao, Eric C. C. Tsang, Degang Chen. tfs, 17(2):451-467, 2009. [doi]

2008

A Novel Feature Grouping Method for Ensemble Neural Network Using Localized Generalization Error ModelAki P. F. Chan, Patrick P. K. Chan, Wing W. Y. Ng, Eric C. C. Tsang, Daniel S. Yeung. ijprai, 22(1):137-151, 2008. [doi]

Nesting One-Against-One Algorithm Based on SVMs for Pattern ClassificationBo Liu, Zhifeng Hao, Eric C. C. Tsang. tnn, 19(12):2044-2052, 2008. [doi]

Feature selection using localized generalization error for supervised classification problems using RBFNNWing W. Y. Ng, Daniel S. Yeung, Michael Firth, Eric C. C. Tsang, Xizhao Wang. PR, 41(12):3706-3719, 2008. [doi]

The Localized Generalization Error Model for Single Layer Perceptron Neural Network and Sigmoid Support Vector MachineWing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang. ijprai, 22(1):121-135, 2008. [doi]

Hybridization of Fuzzy and Rough Sets: Present and FutureEric C. C. Tsang, Qingcai Chen, Suyun Zhao, Daniel S. Yeung, Xizhao Wang. In Humberto Bustince Sola, Francisco Herrera, Javier Montero, editors, Fuzzy Sets and Their Extensions: Representation, Aggregation and Models - Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision. Volume 220 of Studies in Fuzziness and Soft Computing, pages 45-64, Springer, 2008. [doi]

Attributes Reduction Using Fuzzy Rough SetsEric C. C. Tsang, Degang Chen, Daniel S. Yeung, Xizhao Wang, J. Lee. tfs, 16(5):1130-1141, 2008. [doi]

Approximations and reducts with covering generalized rough setsEric C. C. Tsang, Degang Chen, Daniel S. Yeung. cma, 56(1):279-289, 2008. [doi]

On fuzzy approximation operators in attribute reduction with fuzzy rough setsSuyun Zhao, Eric C. C. Tsang. isci, 178(16):3163-3176, 2008. [doi]

2007

Neural network ensemble pruning using sensitivity measure in web applicationsPatrick P. K. Chan, Xiaoqin Zeng, Eric C. C. Tsang, Daniel S. Yeung, John W. T. Lee. SMC 2007: 3051-3056 [doi]

Localized Generalization Error of Gaussian-based Classifiers and Visualization of Decision BoundariesWing W. Y. Ng, Daniel S. Yeung, Defeng Wang, Eric C. C. Tsang, Xizhao Wang. soco, 11(4):375-381, 2007. [doi]

Convergence Analysis of a Discrete Hopfield Neural Network with Delay and its Application to Knowledge RefinementEric C. C. Tsang, S.-S. Qiu, Daniel S. Yeung. ijprai, 21(3):515-541, 2007. [doi]

Stability analysis of a discrete Hopfield neural network with delayEric C. C. Tsang, S.-S. Qiu, Daniel S. Yeung. ijon, 70(13-15):2598-2602, 2007. [doi]

Ellipsoidal support vector clustering for functional MRI analysisDefeng Wang, Lin Shi, Daniel S. Yeung, Eric C. C. Tsang, Pheng-Ann Heng. PR, 40(10):2685-2695, 2007. [doi]

Weighted Mahalanobis Distance Kernels for Support Vector MachinesDefeng Wang, Daniel S. Yeung, Eric C. C. Tsang. tnn, 18(5):1453-1462, 2007. [doi]

Learning fuzzy rules from fuzzy samples based on rough set techniqueXizhao Wang, Eric C. C. Tsang, Suyun Zhao, Degang Chen, Daniel S. Yeung. isci, 177(20):4493-4514, 2007. [doi]

Structured large margin machines: sensitive to data distributionsDaniel S. Yeung, Defeng Wang, Wing W. Y. Ng, Eric C. C. Tsang, Xizhao Wang. ml, 68(2):171-200, 2007. [doi]

Localized Generalization Error Model and Its Application to Architecture Selection for Radial Basis Function Neural NetworkDaniel S. Yeung, Wing W. Y. Ng, Defeng Wang, Eric C. C. Tsang, Xizhao Wang. tnn, 18(5):1294-1305, 2007. [doi]

2006

2005

Empirical Study on Fusion Methods Using Ensemble of RBFNN for Network Intrusion DetectionAki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang, Wing W. Y. Ng. icmlc 2006: 682-690 [doi]

Multiple Classifier System with Feature Grouping for Intrusion Detection: Mutual Information ApproachAki P. F. Chan, Wing W. Y. Ng, Daniel S. Yeung, Eric C. C. Tsang. kes 2005: 141-148 [doi]

On the Local Reduction of Information SystemDegang Chen, Eric C. C. Tsang. icmlc 2006: 588-594 [doi]

Some notes on equivalent fuzzy sets and fuzzy subgroupsDegang Chen, Jiashang Jiang, Congxin Wu, Eric C. C. Tsang. fss, 152(2):403-409, 2005. [doi]

Refinement of Fuzzy Production Rules by Using a Fuzzy-Neural ApproachDong-mei Huang, Ming-hu Ha, Ya-min Li, Eric C. C. Tsang. icmlc 2006: 517-527 [doi]

A Covariance Matrix Based Approach to Internet Anomaly DetectionShuyuan Jin, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang. icmlc 2006: 691-700 [doi]

Hierarchical clustering based on ordinal consistencyJohn W. T. Lee, Daniel S. Yeung, Eric C. C. Tsang. PR, 38(11):1913-1925, 2005. [doi]

Construction of High Precision RBFNN with Low False Alarm for Detecting Flooding Based Denial of Service Attacks Using Stochastic Sensitivity MeasureWing W. Y. Ng, Aki P. F. Chan, Daniel S. Yeung, Eric C. C. Tsang. icmlc 2006: 851-860 [doi]

General multifractional Fourier transform method based on the generalized permutation matrix groupQiWen Ran, Daniel S. Yeung, Eric C. C. Tsang, Qi Wang. tsp, 53(1):83-98, 2005. [doi]

Learning from an Incomplete Information System with Continuous-Valued Attributes by a Rough Set TechniqueEric C. C. Tsang, Suyun Zhao, Daniel S. Yeung, John W. T. Lee. icmlc 2006: 568-577 [doi]

An Approach To Case-Based Maintenance: Selecting Representative CasesEric C. C. Tsang, Xizhao Wang. ijprai, 19(1):79-89, 2005. [doi]

Support Vector Clustering for Brain Activation DetectionDefeng Wang, Lin Shi, Daniel S. Yeung, Pheng-Ann Heng, Tien-Tsin Wong, Eric C. C. Tsang. miccai 2005: 572-579 [doi]

Gene Selection Through Sensitivity Analysis of Support Vector MachinesDefeng Wang, Daniel S. Yeung, Eric C. C. Tsang, Lin Shi. complife 2005: 117-127 [doi]

On the generalization of fuzzy rough setsDaniel S. Yeung, Degang Chen, Eric C. C. Tsang, John W. T. Lee, Xizhao Wang. tfs, 13(3):343-361, 2005. [doi]

2004

Feature Selection For Chinese Character Recognition Based On Inductive LearningGuoliang Qian, Daniel S. Yeung, Eric C. C. Tsang, Wenhao Shu. ijprai, 18(8):1453-1471, 2004. [doi]

Handling interaction in fuzzy production rule reasoningDaniel S. Yeung, Xizhao Wang, Eric C. C. Tsang. tsmc, 34(5):1979-1987, 2004. [doi]

2003

An Approach To Natural Stroke Extraction For Off-Line Loosely-Constrained Handwritten Chinese CharactersDaniel S. Yeung, Hank-Shun Fong, Eric C. C. Tsang, Wenhao Shu, Xiaolong Wang. ijprai, 17(8):1483-1513, 2003. [doi]

2002

Tuning certainty factor and local weight of fuzzy production rules by using fuzzy neural networkEric C. C. Tsang, John W. T. Lee, Daniel S. Yeung. tsmc, 32(1):91-98, 2002.

2001

A General Updating Rule for Discrete Hopfield-Type Neural Network with DelayShenshan Qiu, Eric C. C. Tsang, Daniel S. Yeung, Xizhao Wang. IJCAI 2001: 789-796

A comparative study on heuristic algorithms for generating fuzzy decision treesXizhao Wang, Daniel S. Yeung, Eric C. C. Tsang. tsmc, 31(2):215-226, 2001.

A General Updating Rule for Discrete Hopfield-Type Neural Network with Time-Delay and the Corresponding Search AlgorithmDaniel S. Yeung, Shenshan Qiu, Eric C. C. Tsang, Xizhao Wang. ijcia, 1(4):399-412, 2001. [doi]

1999

Modelling flexible manufacturing systems using weighted Fuzzy Coloured Petri NetsDaniel S. Yeung, Simon C. K. Shiu, Eric C. C. Tsang. jifs, 7(2):137-149, 1999. [doi]

1998

A multilevel weighted fuzzy reasoning algorithm for expert systemsDaniel S. Yeung, Eric C. C. Tsang. tsmc, 28(2):149-158, 1998.

1997

Acquiring and tuning knowledge representation parameters of fuzzy production rules using fuzzy expert networksEric C. C. Tsang, Daniel S. Yeung. kes 1997: 409-418 [doi]

A comparative study on similarity-based fuzzy reasoning methodsDaniel S. Yeung, Eric C. C. Tsang. tsmc, 27(2):216-227, 1997.