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Liangxiao Jiang: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Harry Zhang, Liangxiao Jiang, Jiang Su
    Hidden Naive Bayes. [Citation Graph (0, 0)][DBLP]
    AAAI, 2005, pp:919-924 [Conf]
  2. Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su
    One Dependence Augmented Naive Bayes. [Citation Graph (0, 0)][DBLP]
    ADMA, 2005, pp:186-194 [Conf]
  3. Liangxiao Jiang, Harry Zhang, Jiang Su
    Learning k-Nearest Neighbor Naive Bayes for Ranking. [Citation Graph (0, 0)][DBLP]
    ADMA, 2005, pp:175-185 [Conf]
  4. Liangxiao Jiang, Harry Zhang
    Learning Naive Bayes for Probability Estimation by Feature Selection. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2006, pp:503-514 [Conf]
  5. Liangxiao Jiang, Harry Zhang
    Lazy Averaged One-Dependence Estimators. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2006, pp:515-525 [Conf]
  6. Liangxiao Jiang, Harry Zhang, Jiang Su
    Instance Cloning Local Naive Bayes. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 2005, pp:280-291 [Conf]
  7. 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]
  8. 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]
  9. Liangxiao Jiang, Harry Zhang
    Learning Instance Greedily Cloning Naive Bayes for Ranking. [Citation Graph (0, 0)][DBLP]
    ICDM, 2005, pp:202-209 [Conf]
  10. Harry Zhang, Liangxiao Jiang, Jiang Su
    Augmenting naive Bayes for ranking. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:1020-1027 [Conf]
  11. Liangxiao Jiang, Yuanyuan Guo
    Learning Lazy Naive Bayesian Classifiers for Ranking. [Citation Graph (0, 0)][DBLP]
    ICTAI, 2005, pp:412-416 [Conf]
  12. 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]
  13. 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]
  14. Chaoqun Li, Liangxiao Jiang
    Using Locally Weighted Learning to Improve SMOreg for Regression. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2006, pp:375-384 [Conf]
  15. Liangxiao Jiang, Harry Zhang
    Weightily Averaged One-Dependence Estimators. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2006, pp:970-974 [Conf]
  16. 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]
  17. 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]
  18. 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]
  19. 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]

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


  21. An Improved Attribute Selection Measure for Decision Tree Induction. [Citation Graph (, )][DBLP]


  22. A Combined Classification Algorithm Based on C4.5 and NB. [Citation Graph (, )][DBLP]


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