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Kuo-Chu Chang: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Jun Liu, Kuo-Chu Chang, Jing Zhou
    A Hybrid Convergent Method for Learning Probabilistic Networks. [Citation Graph (0, 0)][DBLP]
    Canadian Conference on AI, 1998, pp:393-410 [Conf]
  2. Kuo-Chu Chang, Robert M. Fung
    Node Aggregation for Distributed Inference in Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1989, pp:265-270 [Conf]
  3. Kuo-Chu Chang, Robert M. Fung
    Refinement and coarsening of Bayesian networks. [Citation Graph (0, 0)][DBLP]
    UAI, 1990, pp:435-446 [Conf]
  4. Kuo-Chu Chang, Robert M. Fung
    Symbolic Probabilistic Inference with Continuous Variables. [Citation Graph (0, 0)][DBLP]
    UAI, 1991, pp:77-81 [Conf]
  5. Kuo-Chu Chang, Robert M. Fung
    Symbolic Probabilistic Inference with Evidence Potential. [Citation Graph (0, 0)][DBLP]
    UAI, 1991, pp:82-85 [Conf]
  6. Robert M. Fung, Kuo-Chu Chang
    Weighing and Integrating Evidence for Stochastic Simulation in Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 1989, pp:209-220 [Conf]
  7. Jun Liu, Kuo-Chu Chang, Jing Zhou
    Learning Bayesian networks with a hybrid convergent method. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 1999, v:29, n:5, pp:436-449 [Journal]
  8. Shulin Yang, Kuo-Chu Chang
    Comparison of score metrics for Bayesian network learning. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Systems, Man, and Cybernetics, Part A, 2002, v:32, n:3, pp:419-428 [Journal]
  9. Wei Sun, Kuo-Chu Chang
    Unscented Message Passing for Arbitrary Continuous Variables in Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    AAAI, 2007, pp:1902-1903 [Conf]

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