Researchers Database

Faculty of Science and Technology, Department of Information Engineering
Associate Professor
Last Updated :2020/08/31

Basic Information

Graduate School

  • Graduate School of Science and Technology, Division of Information Engineering, Associate Professor

Academic Background

  • Sep. 2000, 修了

Research

Research Area

  • Intelligent informatics, Artificial Intelligence

Articles

  • CHR(PRISM)-based probabilistic logic learning. Theory and Practice of Logic Programming
    Sneyers, J., Meert, W., Vennekens, J., Kameya, Y. and Sato, T.
    Theory and Practice of Logic Programming
    10
    433-447
    Jul. 2010
  • Variational Bayes via propositionalized probability computation in PRISM
    Annals of Mathematics and Artificial Intelligence
    54, 1-3
    135-158
    Nov. 2009
  • Parameter learning of logic programs for symbolic-statistical modeling
    Sato, T. and Kameya, Y.
    Journal of Artificial Intelligence Research (JAIR)
    15
    391-454
    Dec. 2001

Other

  • PRISM: A symbolic-statistical modeling language
    Sato, T. and Kameya, Y.
    Proc. of the 15th Int’l Joint Conf. on Artificial Intelligence (IJCAI-97)
    1330, 1335
    Aug. 1997
  • A graphical method for parameter learning of symbolic-statistical models
    Kameya, Y., Ueda, N., and Sato, T.
    Proc. of the 2nd Int'l Conf. on Discovery Science (DS-99), LNAI
    1721, 264, 276
    Dec. 1999
  • Efficient EM learning with tabulation for parameterized logic programs
    Kameya, Y. and Sato, T.
    Proc. of the 1st Int'l Conf. on Computational Logic (CL-2000), LNAI
    1861, 269, 294
    Jul. 2000
  • A separate-and-learn approach to EM learning of PCFGs
    Sato, T., Abe, S., Kameya, Y. and Shirai, K.
    Proc. of the 6th Natural Language Processing Pacific Rim Symposium (NLPRS-2001)
    255, 262
    Nov. 2001
  • Statistical abduction with tabulation
    Sato, T. and Kameya, Y.
    Computational Logic: Logic Programming and Beyond, LNAI
    Vol.2408, Springer, 567, 587
    Aug. 2002
  • Yet more efficient EM learning for parameterized logic programs by inter-goal sharing
    Kameya, Y., Sato, T. and Zhou, N.-F.
    Proc. of the 16th European Conf. on Artificial Intelligence (ECAI-2004)
    490, 494
    Aug. 2004
  • Negation elimination for finite PCFGs
    Sato,T. and Kameya, Y.
    Proc. of the Int'l Symposium on Logic-based Program Synthesis and Transformation 2004 (LOPSTR-04)
    117, 132
    Aug. 2004
  • Generative modeling with failure in PRISM
    Sato, T., Kameya, Y. and Zhou, N.-F.
    Proc. of the 19th Int'l Joint Conf. on Artificial Intelligence (IJCAI-2005)
    847, 852
    Jul. 2005
  • Parallel EM learning for symbolic-statistical models
    Izumi, Y., Kameya, Y. and Sato, T.
    Proc. of the Int'l Workshop on Data-Mining and Statistical Science (DMSS-2006)
    133, 140
    Sep. 2006
  • Discovering concepts from word co-occurrences with a relational model
    Kurihara, K., Kameya, Y. and Sato, T.
    Transactions of the Japanese Society for Artificial Intelligence
    22, 2, 218, 226
    Jan. 2007
  • New advances in logic-based probabilistic modeling by PRISM
    Sato, T. and Kameya, Y.
    Probabilistic Inductive Logic Programming, LNCS 4911, Springer
    118, 155
    May 2008
  • Accelerating genetic programming by frequent subtree mining
    Kameya, Y., Kumagai, J. and Kurata, Y.
    Proc. of the 2008 Genetic and Evolutionary Computation Conf. (GECCO-2008)
    1203, 1210
    Jul. 2008
  • Evaluating abductive hypotheses using an EM algorithm on BDDs.
    Inoue, K., Sato, T., Ishihata, M., Kameya, Y. and Nabeshima, H.
    Proc. of the 21st Int'l Joint Conf. on Artificial Intelligence (IJCAI-2009)
    810, 815
    Jul. 2009
  • Mode-directed tabling for dynamic programming, machine learning, and constraint solving
    Zhou, N.-F., Kameya, Y. and Sato, T.
    Proc. of the 22th Int'l Conf. on Tools with Artificial Intelligence (ICTAI-2010)
    213, 218
    Oct. 2010
  • An EM algorithm on BDDs with order encoding for logic-based probabilistic models
    Ishihata M., Kameya, Y., Sato, T. and Minato, S.
    Proc. of the 2nd Asian Conf. on Machine Learning (ACML-2010)
    161, 176
    Nov. 2010
  • Pattern-based preservation of building blocks in genetic algorithms
    Kameya, Y. and Prayoonsri, C.
    Proc. of the 2011 IEEE Congress on Evolutionary Computation (CEC-2011)
    2578, 2585
    Jun. 2011
  • Variational Bayes inference for logic-based probabilistic models on BDDs
    Ishihata, M., Kameya, Y. and Sato, T.
    Proc. of the 21st International Conference on Inductive Logic Programming (ILP-2011)
    189, 203
    Jul. 2011
  • Verbal characterization of probabilistic clusters using minimal discriminative propositions
    Kameya, Y., Nakamura, S., Iwasaki, T. and Sato, T.
    Proc. of the 23rd IEEE Int'l Conf. on Tools with Artificial Intelligence (ICTAI-2011)
    873, 875
    Nov. 2011
  • Time series discretization via MDL-based histogram density estimation
    Kameya, Y
    Proc. of the 23rd IEEE Int'l Conf. on Tools with Artificial Intelligence (ICTAI-2011)
    732, 739
    Nov. 2011
  • RP-growth: Top-k mining of relevant patterns with minimum support raising
    Kameya, Y. and Sato, T.
    Proc. of the 2012 SIAM International Conference on Data Mining (SDM-2012)
    816, 827
    Apr. 2012
  • Depth-first traversal over a mirrored space for non-redundant discriminative itemsets
    Kameya, Y., Asaoka, H.
    Proc. of the 15th International Conference on Data Warehousing and Knowledge Discovery (DaWaK-2013)
    196, 208
    Aug. 2013


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