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Ming Tan: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Larry J. Eshelman, Damien Ehret, John P. McDermott, Ming Tan
    MOLE: A Tenacious Knowledge-Acquisition Tool. [Citation Graph (2, 0)][DBLP]
    International Journal of Man-Machine Studies, 1987, v:26, n:1, pp:41-54 [Journal]
  2. Ming Tan
    Cost-Sensitive Reinforcement Learning for Adaptive Classification and Control. [Citation Graph (0, 0)][DBLP]
    AAAI, 1991, pp:774-780 [Conf]
  3. Ming Tan, Carol Lafond, Gabriel Jakobson, Gary Young
    Supporting Performance and Configuration Management of GTE Cellular Networks. [Citation Graph (0, 0)][DBLP]
    AAAI/IAAI, Vol. 2, 1996, pp:1556-1563 [Conf]
  4. Ming Tan, Jeffrey C. Schlimmer
    Two Case Studies in Cost-Sensitive Concept Acquisition. [Citation Graph (0, 0)][DBLP]
    AAAI, 1990, pp:854-860 [Conf]
  5. Ming Tan, Hao Xu, Johnson Lee
    DART: A Decision Support System for Cellular Networks Usage Analysis. [Citation Graph (0, 0)][DBLP]
    IC-AI, 1999, pp:479-485 [Conf]
  6. Ming Tan
    Learning a Cost-Sensitive Internal Representation for Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ML, 1991, pp:358-362 [Conf]
  7. Ming Tan
    Multi-Agent Reinforcement Learning: Independent versus Cooperative Agents. [Citation Graph (0, 0)][DBLP]
    ICML, 1993, pp:330-337 [Conf]
  8. Ming Tan, Larry J. Eshelman
    Using Weighted Networks to Represent Classification Knowledge in Noisy Domains. [Citation Graph (0, 0)][DBLP]
    ML, 1988, pp:121-134 [Conf]
  9. Ming Tan, Jeffrey C. Schlimmer
    Cost-Sensitive Concept Learning of Sensor Use in Approach ad Recognition. [Citation Graph (0, 0)][DBLP]
    ML, 1989, pp:392-395 [Conf]
  10. Steve Gallant, Gregory Piatetsky-Shapiro, Ming Tan
    Value-based data mining and web mining for CRM. [Citation Graph (0, 0)][DBLP]
    KDD Tutorials, 2001, pp:- [Conf]
  11. Bocheng Zhong, Jianghong Han, Zhaofang Du, Yuan Ming, Ming Tan
    Game Based Flow Rate Control for Networks. [Citation Graph (0, 0)][DBLP]
    ICICIC (1), 2006, pp:401-404 [Conf]
  12. Ming Tan
    Cost-Sensitive Learning of Classification Knowledge and Its Applications in Robotics. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1993, v:13, n:, pp:7-33 [Journal]
  13. Ming Tan, Jeffrey C. Schlimmer
    A cost-sensitive machine learning method for the approach and recognize task. [Citation Graph (0, 0)][DBLP]
    Robotics and Autonomous Systems, 1991, v:8, n:1-2, pp:31-45 [Journal]
  14. Man-Lai Tang, Kai Wang Ng, Guo-Liang Tian, Ming Tan
    On improved EM algorithm and confidence interval construction for incomplete r. [Citation Graph (0, 0)][DBLP]
    Computational Statistics & Data Analysis, 2007, v:51, n:6, pp:2919-2933 [Journal]
  15. Ming Tan, Guo-Liang Tian, Kai Wang Ng
    Hierarchical models for repeated binary data using the IBF sampler. [Citation Graph (0, 0)][DBLP]
    Computational Statistics & Data Analysis, 2006, v:50, n:5, pp:1272-1286 [Journal]

  16. Wireless usage analysis for capacity planning and beyond: a data warehouse approach. [Citation Graph (, )][DBLP]

  17. Gene and pathway identification with Lp penalized Bayesian logistic regression. [Citation Graph (, )][DBLP]

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