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Yoshitaka Kameya: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Taisuke Sato, Yoshitaka Kameya
    Statistical Abduction with Tabulation. [Citation Graph (0, 0)][DBLP]
    Computational Logic: Logic Programming and Beyond, 2002, pp:567-587 [Conf]
  2. Yoshitaka Kameya, Taisuke Sato
    Efficient EM Learning with Tabulation for Parameterized Logic Programs. [Citation Graph (0, 0)][DBLP]
    Computational Logic, 2000, pp:269-284 [Conf]
  3. Taisuke Sato, Yoshitaka Kameya
    Learning through failure. [Citation Graph (0, 0)][DBLP]
    Probabilistic, Logical and Relational Learning, 2005, pp:- [Conf]
  4. Yoshitaka Kameya, Taisuke Sato
    Abstracting a Human's Decision Process by PRISM. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 1998, pp:389-390 [Conf]
  5. Yoshitaka Kameya, Nobuhisa Ueda, Taisuke Sato
    A Graphical Method for Parameter Learning of Symbolic-Statistical Models. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 1999, pp:264-276 [Conf]
  6. Yoshitaka Kameya, Taisuke Sato, Neng-Fa Zhou
    Yet More Efficient EM Learning for Parameterized Logic Programs by Inter-Goal Sharing. [Citation Graph (0, 0)][DBLP]
    ECAI, 2004, pp:490-494 [Conf]
  7. Taisuke Sato, Yoshitaka Kameya
    PRISM: A Language for Symbolic-Statistical Modeling. [Citation Graph (0, 0)][DBLP]
    IJCAI, 1997, pp:1330-1339 [Conf]
  8. Taisuke Sato, Yoshitaka Kameya, Neng-Fa Zhou
    Generative Modeling with Failure in PRISM. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:847-852 [Conf]
  9. Taisuke Sato, Yoshitaka Kameya
    Negation Elimination for Finite PCFGs. [Citation Graph (0, 0)][DBLP]
    LOPSTR, 2004, pp:117-132 [Conf]
  10. Taisuke Sato, Shigeru Abe, Yoshitaka Kameya, Kiyoaki Shirai
    A Separate-and-Learn Approach to EM Learning of PCFGs. [Citation Graph (0, 0)][DBLP]
    NLPRS, 2001, pp:255-262 [Conf]
  11. Taisuke Sato, Yoshitaka Kameya
    Parameter Learning of Logic Programs for Symbolic-Statistical Modeling. [Citation Graph (0, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 2001, v:15, n:, pp:391-454 [Journal]

  12. Variational Bayes via Propositionalization. [Citation Graph (, )][DBLP]


  13. Accelerating genetic programming by frequent subtree mining. [Citation Graph (, )][DBLP]


  14. Evaluating Abductive Hypotheses using an EM Algorithm on BDDs. [Citation Graph (, )][DBLP]


  15. New Advances in Logic-Based Probabilistic Modeling by PRISM. [Citation Graph (, )][DBLP]


  16. Variational Bayes via propositionalized probability computation in PRISM. [Citation Graph (, )][DBLP]


  17. CHR(PRISM)-based Probabilistic Logic Learning [Citation Graph (, )][DBLP]


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