2008 |
50 | EE | Eric C. C. Tsang,
QingCai Chen,
Suyun Zhao,
Daniel S. Yeung,
Xizhao Wang:
Hybridization of Fuzzy and Rough Sets: Present and Future.
Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 45-64 |
49 | EE | Eric C. C. Tsang,
Degang Chen,
Daniel S. Yeung,
Xizhao Wang,
J. Lee:
Attributes Reduction Using Fuzzy Rough Sets.
IEEE T. Fuzzy Systems 16(5): 1130-1141 (2008) |
48 | EE | Xizhao Wang,
Yuanyan Tang,
Daniel S. Yeung:
Editorial.
IJPRAI 22(1): 1-2 (2008) |
47 | EE | Daniel S. Yeung,
Xizhao Wang,
Degang Chen:
Preface: Recent advances in granular computing.
Inf. Sci. 178(16): 3161-3162 (2008) |
46 | EE | Xizhao Wang,
Chun-Guo Li,
Daniel S. Yeung,
ShiJi Song,
HuiMin Feng:
A definition of partial derivative of random functions and its application to RBFNN sensitivity analysis.
Neurocomputing 71(7-9): 1515-1526 (2008) |
45 | EE | 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 |
44 | EE | Degang Chen,
Xizhao Wang,
Suyun Zhao:
Attribute Reduction Based on Fuzzy Rough Sets.
RSEISP 2007: 381-390 |
43 | EE | 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 |
42 | EE | Xizhao Wang,
Shuxia Lu,
Ruixian Zhu:
Solving SVM inverse problems based on clustering.
SMC 2007: 3615-3620 |
41 | EE | 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) |
40 | EE | Daniel S. Yeung,
Shuyuan Jin,
Xizhao Wang:
Covariance-Matrix Modeling and Detecting Various Flooding Attacks.
IEEE Transactions on Systems, Man, and Cybernetics, Part A 37(2): 157-169 (2007) |
39 | EE | Shuyuan Jin,
Daniel S. Yeung,
Xizhao Wang:
Internet Anomaly Detection Based on Statistical Covariance Matrix.
IJPRAI 21(3): 591-606 (2007) |
38 | EE | Xizhao Wang,
Eric C. C. Tsang,
Suyun Zhao,
Degang Chen,
Daniel S. Yeung:
Learning fuzzy rules from fuzzy samples based on rough set technique.
Inf. Sci. 177(20): 4493-4514 (2007) |
37 | EE | 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) |
36 | EE | Degang Chen,
Qiang He,
Xizhao Wang:
On linear separability of data sets in feature space.
Neurocomputing 70(13-15): 2441-2448 (2007) |
35 | EE | Xizhao Wang,
Chunru Dong,
Tie-Gang Fan:
Training T-S norm neural networks to refine weights for fuzzy if-then rules.
Neurocomputing 70(13-15): 2581-2587 (2007) |
34 | EE | Shuyuan Jin,
Daniel S. Yeung,
Xizhao Wang:
Network intrusion detection in covariance feature space.
Pattern Recognition 40(8): 2185-2197 (2007) |
33 | EE | Yan Li,
Xizhao Wang,
Minghu Ha:
An On-line Multi-CBR Agent Dispatching Algorithm.
Soft Comput. 11(1): 1-5 (2007) |
32 | EE | Zhi-Qiang Liu,
Xizhao Wang,
Daniel S. Yeung:
Machine Learning Techniques: Problems and Applications. By Guest Editors: Zhi-Qiang Liu, Daniel So Yeung, Xi-Zhao Wang, and Eric Tsang.
Soft Comput. 11(4): 309 (2007) |
31 | EE | 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) |
30 | EE | Yan Li,
Xizhao Wang,
Minghu Ha:
An On-Line Multi-CBR Agent Dispatching Algorithm.
Soft Comput. 11(4): 391-395 (2007) |
2006 |
29 | | Daniel S. Yeung,
Zhi-Qiang Liu,
Xizhao Wang,
Hong Yan:
Advances in Machine Learning and Cybernetics, 4th International Conference, ICMLC 2005, Guangzhou, China, August 18-21, 2005, Revised Selected Papers
Springer 2006 |
28 | EE | Xizhao Wang,
Hui Zhang:
A Novel Input Stochastic Sensitivity Definition of Radial Basis Function Neural Networks and Its Application to Feature Selection.
ISNN (1) 2006: 1352-1358 |
27 | EE | Zhi-Qiang Liu,
Daniel S. Yeung,
Xizhao Wang,
Eric C. C. Tsang,
John W. T. Lee:
Preface for the special issue: soft computing in machine learning and cybernetics in the journal Soft Computing.
Soft Comput. 10(1): 1 (2006) |
2005 |
26 | EE | Degang Chen,
Qiang He,
Xizhao Wang:
The Infinite Polynomial Kernel for Support Vector Machine.
ADMA 2005: 267-275 |
25 | EE | John W. T. Lee,
Xizhao Wang,
Jinfeng Wang:
Reduction of Attributes in Ordinal Decision Systems.
ICMLC 2005: 578-587 |
24 | EE | Shuyuan Jin,
Daniel S. Yeung,
Xizhao Wang,
Eric C. C. Tsang:
A Covariance Matrix Based Approach to Internet Anomaly Detection.
ICMLC 2005: 691-700 |
23 | EE | Qiang He,
Xizhao Wang,
Junfen Chen,
Leifan Yan:
A Parallel Genetic Algorithm for Solving the Inverse Problem of Support Vector Machines.
ICMLC 2005: 871-879 |
22 | EE | Degang Chen,
Qiang He,
Chunru Dong,
Xizhao Wang:
A Method to Construct the Mapping to the Feature Space for the Dot Product Kernels.
ICMLC 2005: 918-929 |
21 | EE | Xizhao Wang,
Chunguo Li:
A New Definition of Sensitivity for RBFNN and Its Applications to Feature Reduction.
ISNN (1) 2005: 81-86 |
20 | EE | Caihong Sun,
Simon Chi-Keung Shiu,
Xizhao Wang:
Organizing Large Case Library by Linear Programming.
MICAI 2005: 554-564 |
19 | EE | Daniel S. Yeung,
Degang Chen,
Eric C. C. Tsang,
John W. T. Lee,
Xizhao Wang:
On the generalization of fuzzy rough sets.
IEEE T. Fuzzy Systems 13(3): 343-361 (2005) |
18 | EE | Eric C. C. Tsang,
Xizhao Wang:
An Approach To Case-Based Maintenance: Selecting Representative Cases.
IJPRAI 19(1): 79-89 (2005) |
17 | EE | Xizhao Wang,
Qiang He,
Degang Chen,
Daniel S. Yeung:
A genetic algorithm for solving the inverse problem of support vector machines.
Neurocomputing 68: 225-238 (2005) |
2004 |
16 | EE | Xizhao Wang,
Qiang He:
Enhancing Generalization Capability of SVM Classifiers with Feature Weight Adjustment.
KES 2004: 1037-1043 |
15 | EE | Xizhao Wang,
Chunru Dong,
Daniel S. Yeung:
A study on generalization capability of weighted fuzzy production rules with maximum entropy.
SMC (4) 2004: 3181-3186 |
14 | EE | Daniel S. Yeung,
Xizhao Wang,
Eric C. C. Tsang:
Handling interaction in fuzzy production rule reasoning.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(5): 1979-1987 (2004) |
13 | EE | Xizhao Wang,
Yadong Wang,
Lijuan Wang:
Improving fuzzy c-means clustering based on feature-weight learning.
Pattern Recognition Letters 25(10): 1123-1132 (2004) |
2003 |
12 | EE | Xizhao Wang,
Minghua Zhao,
Dianhui Wang:
Selection of Parameters in Building Fuzzy Decision Trees.
Australian Conference on Artificial Intelligence 2003: 282-292 |
11 | EE | Minghu Ha,
Xizhao Wang,
Lanzhen Yang,
Yan Li:
Sequences of (S) fuzzy integrable functions.
Fuzzy Sets and Systems 138(3): 507-522 (2003) |
10 | EE | Guoqing Cao,
Simon C. K. Shiu,
Xizhao Wang:
A fuzzy-rough approach for the maintenance of distributed case-based reasoning systems.
Soft Comput. 7(8): 491-499 (2003) |
2002 |
9 | EE | Daniel S. Yeung,
Xizhao Wang:
Improving Performance of Similarity-Based Clustering by Feature Weight Learning.
IEEE Trans. Pattern Anal. Mach. Intell. 24(4): 556-561 (2002) |
2001 |
8 | EE | Guoqing Cao,
Simon C. K. Shiu,
Xizhao Wang:
A Fuzzy-Rough Approach for Case Base Maintenance.
ICCBR 2001: 118-130 |
7 | | Shenshan Qiu,
Eric C. C. Tsang,
Daniel S. Yeung,
Xizhao Wang:
A General Updating Rule for Discrete Hopfield-Type Neural Network with Delay.
IJCAI 2001: 789-796 |
6 | | Simon C. K. Shiu,
Daniel S. Yeung,
Cai Hung Sun,
Xizhao Wang:
Transferring Case Knowledge to Adaptation Knowledge: An Approach for Case-Base Maintenance.
Computational Intelligence 17(2): 295-314 (2001) |
5 | EE | Xizhao Wang,
Zimian Zhong,
Minghu Ha:
Iteration algorithms for solving a system of fuzzy linear equations.
Fuzzy Sets and Systems 119(1): 121-128 (2001) |
4 | EE | Xizhao Wang,
Yadong Wang,
X. F. Xu,
W. D. Ling,
Daniel S. Yeung:
A new approach to fuzzy rule generation: fuzzy extension matrix.
Fuzzy Sets and Systems 123(3): 291-306 (2001) |
3 | | Xizhao Wang,
Daniel S. Yeung,
Eric C. C. Tsang:
A comparative study on heuristic algorithms for generating fuzzy decision trees.
IEEE Transactions on Systems, Man, and Cybernetics, Part B 31(2): 215-226 (2001) |
2 | EE | Daniel S. Yeung,
Shenshan Qiu,
Eric C. C. Tsang,
Xizhao Wang:
A General Updating Rule for Discrete Hopfield-Type Neural Network with Time-Delay and the Corresponding Search Algorithm.
International Journal of Computational Intelligence and Applications 1(4): 399-412 (2001) |
2000 |
1 | EE | Simon C. K. Shiu,
Cai Hung Sun,
Xizhao Wang,
Daniel S. Yeung:
Maintaining Case-Based Reasoning Systems Using Fuzzy Decision Trees.
EWCBR 2000: 285-296 |