Sato, Taisuke - Department of Computer Science, Tokyo Institute of Technology

• Linkoping Electronic Articles in Computer and Information Science
• New Advances in Logic-Based Probabilistic Modeling by PRISM
• Program extraction from quantified decision trees (Extended abstract)
• Ecient EM Learning with Tabulation for Parameterized Logic Programs
• Inside-Outside Probability Computation for Belief Propagation Taisuke Sato
• A Dynamic Programming Approach to Parameter Learning of Generative Models with Failure
• Modeling Scienti c Theories as PRISM Taisuke SATO1
• A Viterbi-like algorithm and EM learning for statistical abduction Taisuke SATO Yoshitaka KAMEYA
• A New Perspective of Statistical Modeling by PRISM Taisuke SATO
• Technical Papers Discovering Concepts from Word Co-
• Parameterized Logic Programs where Computing Meets Learning
• PRISM: A Language for SymbolicStatistical Modeling 3 Taisuke SATO y and Yoshitaka KAMEYA z
• Yet more efficient EM learning for parameterized logic programs by inter-goal sharing
• Efficient Fixpoint Computation in Linear Tabling Neng-Fa Zhou
• A SeparateandLearn Approach to EM Learning of PCFGs (Revised Feb. 1st, 2001)
• Graph Mining with Variational Dirichlet Process Mixture Models Kenichi Kurihara
• Statistical abduction with tabulation1 Taisuke SATOy and Yoshitaka KAMEYAz
• Generative Modeling by PRISM Taisuke Sato
• Logic-based Probabilistic Modeling Taisuke Sato
• Propositionalizing the EM algorithm by BDDs Masakazu Ishihata1
• 2006 Workshop on Information-Based Induction Sciences (IBIS2006)
• Parallel EM Learning for Symbolic-Statistical Models
• Variational Bayesian Grammar Induction for Natural Language
• Generative Modeling with Failure in PRISM Taisuke Sato, Yoshitaka Kameya
• An Application of the Variational Bayesian Approach to Probabilistic Context-Free Grammars
• Toward a High-performance System for Symbolic and Statistical Modeling Neng-Fa Zhou
• Parameterized Logic Programs where Computing Meets Learning
• Program extraction from quanti ed decision trees (Extended abstract)
• PRISM: A Language for Symbolic-Statistical Modeling3 Taisuke SATOy
• ISSN 0918-2802 Technical Report L
• Modeling Scientific Theories as PRISM Taisuke SATO 1
• Compiling Bayesian Networks by Symbolic Probability Calculation Based on Zero-suppressed BDDs
• ISSN 09182802 Technical Report L
• A New Perspective of Statistical Modeling by PRISM Taisuke SATO
• Accelerating Genetic Programming by Frequent Subtree Yoshitaka Kameya
• Linkoping Electronic Articles in Computer and Information Science
• A Statistical Learning Method for Logic Programs with Distribution
• Statistical abduction with tabulation 1 Taisuke SATO y and Yoshitaka KAMEYA z
• Journal of Artificial Intelligence Research 15 (2001) 391-454 Submitted 6/18; published 12/01 Parameter Learning of Logic Programs for