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Zhihua Cai: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su
    One Dependence Augmented Naive Bayes. [Citation Graph (0, 0)][DBLP]
    ADMA, 2005, pp:186-194 [Conf]
  2. Wenyin Gong, Zhihua Cai, Charles X. Ling
    ODE: A Fast and Robust Differential Evolution Based on Orthogonal Design. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2006, pp:709-718 [Conf]
  3. Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su
    Learning Tree Augmented Naive Bayes for Ranking. [Citation Graph (0, 0)][DBLP]
    DASFAA, 2005, pp:688-698 [Conf]
  4. Zhihua Cai, Wenyin Gong, Yongqin Huang
    A Novel Differential Evolution Algorithm Based on epsilon -Domination and Orthogonal Design Method for Multiobjective Optimization. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:286-301 [Conf]
  5. Liangxiao Jiang, Harry Zhang, Zhihua Cai
    Dynamic K-Nearest-Neighbor Naive Bayes with Attribute Weighted. [Citation Graph (0, 0)][DBLP]
    FSKD, 2006, pp:365-368 [Conf]
  6. Dan Zeng, Sifa Zhang, Zhihua Cai, Siwei Jiang, Liangxiao Jiang
    A Novel One-dependence Estimator Based on Multi-parents. [Citation Graph (0, 0)][DBLP]
    ISDA (1), 2006, pp:639-643 [Conf]
  7. Dan Zeng, Sifa Zhang, Zhihua Cai, Siwei Jiang, Liangxiao Jiang
    Augmented Naive Bayes Based on Evolutional Strategy. [Citation Graph (0, 0)][DBLP]
    ISDA (1), 2006, pp:446-450 [Conf]
  8. Liangxiao Jiang, Dianhong Wang, Zhihua Cai, Xuesong Yan
    Survey of Improving Naive Bayes for Classification. [Citation Graph (0, 0)][DBLP]
    ADMA, 2007, pp:134-145 [Conf]
  9. Jun Du, Zhihua Cai, Charles X. Ling
    Cost-Sensitive Decision Trees with Pre-pruning. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2007, pp:171-179 [Conf]
  10. Liangxiao Jiang, Harry Zhang, Dianhong Wang, Zhihua Cai
    Learning Locally Weighted C4.4 for Class Probability Estimation. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 2007, pp:104-115 [Conf]
  11. Liangxiao Jiang, Dianhong Wang, Zhihua Cai
    Scaling Up the Accuracy of Bayesian Network Classifiers by M-Estimate. [Citation Graph (0, 0)][DBLP]
    ICIC (2), 2007, pp:475-484 [Conf]
  12. Zhihua Cai, Dianhong Wang, Liangxiao Jiang
    K-Distributions: A New Algorithm for Clustering Categorical Data. [Citation Graph (0, 0)][DBLP]
    ICIC (2), 2007, pp:436-443 [Conf]

  13. A New Mutation Operator Based on the T Probability Distribution in Evolutionary Programming. [Citation Graph (, )][DBLP]


  14. Using Support Vector Regression for Classification. [Citation Graph (, )][DBLP]


  15. Survey of Improving K-Nearest-Neighbor for Classification. [Citation Graph (, )][DBLP]


  16. Hybrid differential evolution based on fuzzy C-means clustering. [Citation Graph (, )][DBLP]


  17. Adaptive strategy selection in differential evolution. [Citation Graph (, )][DBLP]


  18. Probability matching-based adaptive strategy selection vs. uniform strategy selection within differential evolution: an empirical comparison on the bbob-2010 noiseless testbed. [Citation Graph (, )][DBLP]


  19. Adaptive Routing Algorithm in Wireless Communication Networks Using Evolutionary Algorithm. [Citation Graph (, )][DBLP]


  20. Training RBF Networks with an Extended Kalman Filter Optimized Using Fuzzy Logic. [Citation Graph (, )][DBLP]


  21. A multiobjective differential evolution algorithm for constrained optimization. [Citation Graph (, )][DBLP]


  22. An Improved Gene Expression Programming for Fuzzy Classification. [Citation Graph (, )][DBLP]


  23. Improve the Accuracy of One Dependence Augmented Naive Bayes by Weighted Attribute. [Citation Graph (, )][DBLP]


  24. A Novel Automatic Parameters Optimization Approach Based on Differential Evolution for Support Vector Regression. [Citation Graph (, )][DBLP]


  25. An Evolutionary Algorithm and Kalman Filter Hybrid Approach for Integrated Navigation. [Citation Graph (, )][DBLP]


  26. A Point Symmetry-Based Automatic Clustering Approach Using Differential Evolution. [Citation Graph (, )][DBLP]


  27. Classification of Imbalanced Data Sets by Using the Hybrid Re-sampling Algorithm Based on Isomap. [Citation Graph (, )][DBLP]


  28. A Novel Differential Evolution-Clustering Hybrid Resampling Algorithm on Imbalanced Datasets. [Citation Graph (, )][DBLP]


  29. A Novel Hybrid Particle Swarm Optimization for Multi-Objective Problems. [Citation Graph (, )][DBLP]


  30. A clustering-based differential evolution for global optimization. [Citation Graph (, )][DBLP]


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