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Fengzhan Tian: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Fengzhan Tian, Shengfeng Tian, Jian Yu, Houkuan Huang
    An Improved Bayesian Network Learning Algorithm Based on Dependency Analysis. [Citation Graph (0, 0)][DBLP]
    CIS (1), 2005, pp:33-40 [Conf]
  2. Fengzhan Tian, Hongwei Zhang, Yuchang Lu
    Learning Bayesian Networks from Incomplete Data Based on EMI Method. [Citation Graph (0, 0)][DBLP]
    ICDM, 2003, pp:323-330 [Conf]
  3. Fengzhan Tian, Hongwei Zhang, Yuchang Lu, Chunyi Shi
    Incremental Learning of Bayesian Networks with Hidden Variables. [Citation Graph (0, 0)][DBLP]
    ICDM, 2001, pp:651-652 [Conf]
  4. Fengzhan Tian, Zhihai Wang, Jian Yu, Houkuan Huang
    Learning TAN from Incomplete Data. [Citation Graph (0, 0)][DBLP]
    ICIC (1), 2005, pp:495-504 [Conf]
  5. Hongwei Zhang, Fengzhan Tian, Yuchang Lu
    A General Algorithm for Approximate Inference in Multiply Sectioned Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    IDA, 2001, pp:330-339 [Conf]
  6. Fengzhan Tian, Yuchang Lu, Chunyi Shi
    Learning Bayesian Networks with Hidden Variables Using the Combination of EM and Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2001, pp:568-574 [Conf]
  7. Fengzhan Tian, Hongwei Zhang, Yuchang Lu
    Research on Modeling with Dynamic Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    Web Intelligence, 2003, pp:606-609 [Conf]
  8. Feng Liu, Fengzhan Tian, QiLiang Zhu
    Frequent Itemset Mining Based on Heuristic Two Level Counting. [Citation Graph (0, 0)][DBLP]
    ICICIC (2), 2006, pp:640-643 [Conf]
  9. Feng Liu, Fengzhan Tian, QiLiang Zhu
    A Novel Greedy Bayesian Network Structure Learning Algorithm for Limited Data. [Citation Graph (0, 0)][DBLP]
    ADMA, 2007, pp:412-421 [Conf]
  10. Feng Liu, Fengzhan Tian, QiLiang Zhu
    Bayesian Network Structure Ensemble Learning. [Citation Graph (0, 0)][DBLP]
    ADMA, 2007, pp:454-465 [Conf]
  11. Qi Feng, Fengzhan Tian, Houkuan Huang
    A Discriminative Learning Method of TAN Classifier. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2007, pp:443-452 [Conf]
  12. Feng Liu, Fengzhan Tian, QiLiang Zhu
    An Improved Greedy Bayesian Network Learning Algorithm on Limited Data. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2007, pp:49-57 [Conf]
  13. Xiaoping Zhang, Fengzhan Tian, Houkuan Huang
    An Algorithm for Generating Classification Rules Based on Extended Function Dependency. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (3), 2007, pp:645-652 [Conf]
  14. Fengzhan Tian, Haisheng Li, Zhihai Wang, Jian Yu
    Learning Bayesian Networks Based on a Mutual Information Scoring Function and EMI Method. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2007, pp:414-423 [Conf]
  15. Fengzhan Tian, Yanfeng Zhang, Zhihai Wang, Houkuan Huang
    Learning Bayesian Networks Using Evolutionary Algorithm and a Variant of MDL Score. [Citation Graph (0, 0)][DBLP]
    KES (3), 2007, pp:166-173 [Conf]
  16. Fengzhan Tian, Feng Liu, Zhihai Wang, Jian Yu
    Learning Bayesian Networks with Combination of MRMR Criterion and EMI Method. [Citation Graph (0, 0)][DBLP]
    PAKDD, 2007, pp:801-808 [Conf]

  17. A Novel Ordering-Based Greedy Bayesian Network Learning Algorithm on Limited Data. [Citation Graph (, )][DBLP]


  18. Ensembling Bayesian network structure learning on limited data. [Citation Graph (, )][DBLP]


  19. A Novel Ordering-Based Greedy Bayesian Network Learning Algorithm on Limited Data. [Citation Graph (, )][DBLP]


  20. A Multilevel Model of Filtering Chinese Bad Information Based on Heuristic Rules and Text Classification. [Citation Graph (, )][DBLP]


  21. A Selective Classifier for Incomplete Data. [Citation Graph (, )][DBLP]


  22. Learning Bayesian Networks with the Combination of Evolutionary Algorithm and EMI Method. [Citation Graph (, )][DBLP]


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