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Xizhao Wang: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Degang Chen, Qiang He, Xizhao Wang
    The Infinite Polynomial Kernel for Support Vector Machine. [Citation Graph (0, 0)][DBLP]
    ADMA, 2005, pp:267-275 [Conf]
  2. Xizhao Wang, Minghua Zhao, Dianhui Wang
    Selection of Parameters in Building Fuzzy Decision Trees. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2003, pp:282-292 [Conf]
  3. Simon C. K. Shiu, Cai Hung Sun, Xizhao Wang, Daniel S. Yeung
    Maintaining Case-Based Reasoning Systems Using Fuzzy Decision Trees. [Citation Graph (0, 0)][DBLP]
    EWCBR, 2000, pp:285-296 [Conf]
  4. Guoqing Cao, Simon C. K. Shiu, Xizhao Wang
    A Fuzzy-Rough Approach for Case Base Maintenance. [Citation Graph (0, 0)][DBLP]
    ICCBR, 2001, pp:118-130 [Conf]
  5. Degang Chen, Qiang He, Chunru Dong, Xizhao Wang
    A Method to Construct the Mapping to the Feature Space for the Dot Product Kernels. [Citation Graph (0, 0)][DBLP]
    ICMLC, 2005, pp:918-929 [Conf]
  6. Qiang He, Xizhao Wang, Junfen Chen, Leifan Yan
    A Parallel Genetic Algorithm for Solving the Inverse Problem of Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    ICMLC, 2005, pp:871-879 [Conf]
  7. Shuyuan Jin, Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang
    A Covariance Matrix Based Approach to Internet Anomaly Detection. [Citation Graph (0, 0)][DBLP]
    ICMLC, 2005, pp:691-700 [Conf]
  8. John W. T. Lee, Xizhao Wang, Jinfeng Wang
    Reduction of Attributes in Ordinal Decision Systems. [Citation Graph (0, 0)][DBLP]
    ICMLC, 2005, pp:578-587 [Conf]
  9. Shenshan Qiu, Eric C. C. Tsang, Daniel S. Yeung, Xizhao Wang
    A General Updating Rule for Discrete Hopfield-Type Neural Network with Delay. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2001, pp:789-796 [Conf]
  10. Xizhao Wang, Hui Zhang
    A Novel Input Stochastic Sensitivity Definition of Radial Basis Function Neural Networks and Its Application to Feature Selection. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:1352-1358 [Conf]
  11. Xizhao Wang, Chunguo Li
    A New Definition of Sensitivity for RBFNN and Its Applications to Feature Reduction. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2005, pp:81-86 [Conf]
  12. Xizhao Wang, Qiang He
    Enhancing Generalization Capability of SVM Classifiers with Feature Weight Adjustment. [Citation Graph (0, 0)][DBLP]
    KES, 2004, pp:1037-1043 [Conf]
  13. Caihong Sun, Simon Chi-Keung Shiu, Xizhao Wang
    Organizing Large Case Library by Linear Programming. [Citation Graph (0, 0)][DBLP]
    MICAI, 2005, pp:554-564 [Conf]
  14. Xizhao Wang, Chunru Dong, Daniel S. Yeung
    A study on generalization capability of weighted fuzzy production rules with maximum entropy. [Citation Graph (0, 0)][DBLP]
    SMC (4), 2004, pp:3181-3186 [Conf]
  15. Simon C. K. Shiu, Daniel S. Yeung, Cai Hung Sun, Xizhao Wang
    Transferring Case Knowledge to Adaptation Knowledge: An Approach for Case-Base Maintenance. [Citation Graph (0, 0)][DBLP]
    Computational Intelligence, 2001, v:17, n:2, pp:295-314 [Journal]
  16. Minghu Ha, Xizhao Wang, Lanzhen Yang, Yan Li
    Sequences of (S) fuzzy integrable functions. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2003, v:138, n:3, pp:507-522 [Journal]
  17. Xizhao Wang, Yadong Wang, X. F. Xu, W. D. Ling, Daniel S. Yeung
    A new approach to fuzzy rule generation: fuzzy extension matrix. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2001, v:123, n:3, pp:291-306 [Journal]
  18. Xizhao Wang, Zimian Zhong, Minghu Ha
    Iteration algorithms for solving a system of fuzzy linear equations. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2001, v:119, n:1, pp:121-128 [Journal]
  19. 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. [Citation Graph (0, 0)][DBLP]
    International Journal of Computational Intelligence and Applications, 2001, v:1, n:4, pp:399-412 [Journal]
  20. Xizhao Wang, Qiang He, Degang Chen, Daniel S. Yeung
    A genetic algorithm for solving the inverse problem of support vector machines. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:68, n:, pp:225-238 [Journal]
  21. Eric C. C. Tsang, Xizhao Wang
    An Approach To Case-Based Maintenance: Selecting Representative Cases. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 2005, v:19, n:1, pp:79-89 [Journal]
  22. Daniel S. Yeung, Xizhao Wang
    Improving Performance of Similarity-Based Clustering by Feature Weight Learning. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2002, v:24, n:4, pp:556-561 [Journal]
  23. Xizhao Wang, Yadong Wang, Lijuan Wang
    Improving fuzzy c-means clustering based on feature-weight learning. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2004, v:25, n:10, pp:1123-1132 [Journal]
  24. Guoqing Cao, Simon C. K. Shiu, Xizhao Wang
    A fuzzy-rough approach for the maintenance of distributed case-based reasoning systems. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2003, v:7, n:8, pp:491-499 [Journal]
  25. 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. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2006, v:10, n:1, pp:1- [Journal]
  26. Yan Li, Xizhao Wang, Ming-hu Ha
    An On-line Multi-CBR Agent Dispatching Algorithm. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2007, v:11, n:1, pp:1-5 [Journal]
  27. Yan Li, Xizhao Wang, Ming-hu Ha
    An On-Line Multi-CBR Agent Dispatching Algorithm. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2007, v:11, n:4, pp:391-395 [Journal]
  28. 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. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2007, v:11, n:4, pp:375-381 [Journal]
  29. 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. [Citation Graph (0, 0)][DBLP]
    Soft Comput., 2007, v:11, n:4, pp:309- [Journal]
  30. Daniel S. Yeung, Degang Chen, Eric C. C. Tsang, John W. T. Lee, Xizhao Wang
    On the generalization of fuzzy rough sets. [Citation Graph (0, 0)][DBLP]
    IEEE T. Fuzzy Systems, 2005, v:13, n:3, pp:343-361 [Journal]
  31. Xizhao Wang, Daniel S. Yeung, Eric C. C. Tsang
    A comparative study on heuristic algorithms for generating fuzzy decision trees. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2001, v:31, n:2, pp:215-226 [Journal]
  32. Daniel S. Yeung, Xizhao Wang, Eric C. C. Tsang
    Handling interaction in fuzzy production rule reasoning. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2004, v:34, n:5, pp:1979-1987 [Journal]
  33. Degang Chen, Xizhao Wang, Suyun Zhao
    Attribute Reduction Based on Fuzzy Rough Sets. [Citation Graph (0, 0)][DBLP]
    RSEISP, 2007, pp:381-390 [Conf]
  34. Degang Chen, Qiang He, Xizhao Wang
    On linear separability of data sets in feature space. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:13-15, pp:2441-2448 [Journal]
  35. Xizhao Wang, Eric C. C. Tsang, Suyun Zhao, Degang Chen, Daniel S. Yeung
    Learning fuzzy rules from fuzzy samples based on rough set technique. [Citation Graph (0, 0)][DBLP]
    Inf. Sci., 2007, v:177, n:20, pp:4493-4514 [Journal]
  36. Daniel S. Yeung, Defeng Wang, Wing W. Y. Ng, Eric C. C. Tsang, Xizhao Wang
    Structured large margin machines: sensitive to data distributions. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2007, v:68, n:2, pp:171-200 [Journal]
  37. Shuyuan Jin, Daniel S. Yeung, Xizhao Wang
    Network intrusion detection in covariance feature space. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:8, pp:2185-2197 [Journal]

  38. A Fast Support Vector Machine Classification Algorithm Based on Karush-Kuhn-Tucker Conditions. [Citation Graph (, )][DBLP]


  39. An Improved Cluster Oriented Fuzzy Decision Trees. [Citation Graph (, )][DBLP]


  40. Heuristic improvement for active learning using localized generalization error as selection criterion. [Citation Graph (, )][DBLP]


  41. Solving SVM inverse problems based on clustering. [Citation Graph (, )][DBLP]


  42. An Improved Sample Selection Algorithm in Fuzzy Decision Tree Induction. [Citation Graph (, )][DBLP]


  43. Multi-Stage Decision Tree based on Inter-class and Inner-class Margin of SVM. [Citation Graph (, )][DBLP]


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