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Taisuke Sato :
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Hisao Tamaki , Taisuke Sato OLD Resolution with Tabulation. [Citation Graph (9, 0)][DBLP ] ICLP, 1986, pp:84-98 [Conf ] Hisao Tamaki , Taisuke Sato Unfold/Fold Transformation of Logic Programs. [Citation Graph (6, 0)][DBLP ] ICLP, 1984, pp:127-138 [Conf ] Taisuke Sato An Equivalence Preserving First Order Unfold/fold Transformation System. [Citation Graph (0, 0)][DBLP ] ALP, 1990, pp:173-188 [Conf ] Taisuke Sato , Sumitaka Akiba Inductive Resolution. [Citation Graph (0, 0)][DBLP ] ALT, 1993, pp:101-110 [Conf ] Taisuke Sato , Yoshitaka Kameya Statistical Abduction with Tabulation. [Citation Graph (0, 0)][DBLP ] Computational Logic: Logic Programming and Beyond, 2002, pp:567-587 [Conf ] 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 ] Taisuke Sato SGS: A System For Mechanical Generation Of Japanese Sentences. [Citation Graph (0, 0)][DBLP ] COLING, 1980, pp:21-28 [Conf ] Taisuke Sato , Yoshitaka Kameya Learning through failure. [Citation Graph (0, 0)][DBLP ] Probabilistic, Logical and Relational Learning, 2005, pp:- [Conf ] Yoshitaka Kameya , Taisuke Sato Abstracting a Human's Decision Process by PRISM. [Citation Graph (0, 0)][DBLP ] Discovery Science, 1998, pp:389-390 [Conf ] 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 ] Nobuhisa Ueda , Taisuke Sato Simplified Training Algorithms for Hierarchical Hidden Markov Models. [Citation Graph (0, 0)][DBLP ] Discovery Science, 2001, pp:401-415 [Conf ] Taisuke Sato EM Learning for Symbolic-Statistical Models in Statistical Abduction. [Citation Graph (0, 0)][DBLP ] Progress in Discovery Science, 2002, pp:189-200 [Conf ] 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 ] Taisuke Sato , Hisao Tamaki Transformational Logic Program Synthesis. [Citation Graph (0, 0)][DBLP ] FGCS, 1984, pp:195-201 [Conf ] Masanobu Yamamoto , Humikazu Mitomi , Fuyuki Fujiwara , Taisuke Sato Bayesian Classification of Task-Oriented Actions Based on Stochastic Context-Free Grammar. [Citation Graph (0, 0)][DBLP ] FG, 2006, pp:317-323 [Conf ] Taisuke Sato Parameterized Logic Programs where Computing Meets Learning. [Citation Graph (0, 0)][DBLP ] FLOPS, 2001, pp:40-60 [Conf ] Taisuke Sato , Hisao Tamaki Enumeration of Success Patterns in Logic Programs. [Citation Graph (0, 0)][DBLP ] ICALP, 1983, pp:640-652 [Conf ] Hitoshi Iba , Taisuke Sato , Hugo de Garis System Identification Approach to Genetic Programming. [Citation Graph (0, 0)][DBLP ] International Conference on Evolutionary Computation, 1994, pp:401-406 [Conf ] Hitoshi Iba , Takio Kurita , Hugo de Garis , Taisuke Sato System Identification using Structured Genetic Algorithms. [Citation Graph (0, 0)][DBLP ] ICGA, 1993, pp:279-286 [Conf ] Hitoshi Iba , Taisuke Sato , Hugo de Garis Temporal Data Processing Using Genetic Programming. [Citation Graph (0, 0)][DBLP ] ICGA, 1995, pp:279-286 [Conf ] Kenichi Kurihara , Taisuke Sato Variational Bayesian Grammar Induction for Natural Language. [Citation Graph (0, 0)][DBLP ] ICGI, 2006, pp:84-96 [Conf ] Taisuke Sato Negation and Semantics of Prolog Programs. [Citation Graph (0, 0)][DBLP ] ICLP, 1982, pp:169-174 [Conf ] Taisuke Sato Full First Order Logic Programming and Truth Predicate. [Citation Graph (0, 0)][DBLP ] ICLP, 1991, pp:948- [Conf ] Taisuke Sato Meta-Programming through a Truth Predicate. [Citation Graph (0, 0)][DBLP ] JICSLP, 1992, pp:526-540 [Conf ] Taisuke Sato A Statistical Learning Method for Logic Programs with Distribution Semantics. [Citation Graph (0, 0)][DBLP ] ICLP, 1995, pp:715-729 [Conf ] Taisuke Sato , Satoshi Funada Reactive Logic Programming by Reinforcement Learning. [Citation Graph (0, 0)][DBLP ] ICLP, 1999, pp:617- [Conf ] Hitoshi Iba , Tetsuya Higuchi , Hugo de Garis , Taisuke Sato Evolutionary Learning Strategy using Bug-Based Search. [Citation Graph (0, 0)][DBLP ] IJCAI, 1993, pp:960-966 [Conf ] Taisuke Sato , Yoshitaka Kameya PRISM: A Language for Symbolic-Statistical Modeling. [Citation Graph (0, 0)][DBLP ] IJCAI, 1997, pp:1330-1339 [Conf ] Taisuke Sato , Yoshitaka Kameya , Neng-Fa Zhou Generative Modeling with Failure in PRISM. [Citation Graph (0, 0)][DBLP ] IJCAI, 2005, pp:847-852 [Conf ] Shin-ichi Minato , Ken Satoh , Taisuke Sato Compiling Bayesian Networks by Symbolic Probability Calculation Based on Zero-Suppressed BDDs. [Citation Graph (0, 0)][DBLP ] IJCAI, 2007, pp:2550-2555 [Conf ] Taisuke Sato Inside-Outside Probability Computation for Belief Propagation. [Citation Graph (0, 0)][DBLP ] IJCAI, 2007, pp:2605-2610 [Conf ] Taisuke Sato , Yoshitaka Kameya Negation Elimination for Finite PCFGs. [Citation Graph (0, 0)][DBLP ] LOPSTR, 2004, pp:117-132 [Conf ] Sumitaka Akiba , Taisuke Sato Learning Logic Programs and Regularities from Examples by Inductive Inference. [Citation Graph (0, 0)][DBLP ] Machine Intelligence 14, 1993, pp:191-212 [Conf ] 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 ] Neng-Fa Zhou , Taisuke Sato Efficient fixpoint computation in linear tabling. [Citation Graph (0, 0)][DBLP ] PPDP, 2003, pp:275-283 [Conf ] Neng-Fa Zhou , Yi-Dong Shen , Taisuke Sato Semi-naive evaluation in linear tabling. [Citation Graph (0, 0)][DBLP ] PPDP, 2004, pp:90-97 [Conf ] Hitoshi Iba , Sumitaka Akiba , Tetsuya Higuchi , Taisuke Sato BUGS: A Bug-Based Search Strategy using Genetic Algorithms. [Citation Graph (0, 0)][DBLP ] PPSN, 1992, pp:167-0 [Conf ] Hitoshi Iba , Hugo de Garis , Taisuke Sato Genetic Programming with Local Hill-Climbing. [Citation Graph (0, 0)][DBLP ] PPSN, 1994, pp:302-311 [Conf ] Taisuke Sato An Algorithm for Intelligent Backtracking. [Citation Graph (0, 0)][DBLP ] RIMS Symposium on Software Science and Engineering, 1982, pp:88-98 [Conf ] Taisuke Sato , Fumio Motoyoshi A Complete Top-Down Interpreter for First Order Programs. [Citation Graph (0, 0)][DBLP ] ISLP, 1991, pp:35-53 [Conf ] Hitoshi Iba , Hugo de Garis , Taisuke Sato A Numerical Approach to Genetic Programming for System Identification. [Citation Graph (0, 0)][DBLP ] Evolutionary Computation, 1995, v:3, n:4, pp:417-452 [Journal ] 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 ] Taisuke Sato Completed Logic Programs and their Consistency. [Citation Graph (0, 0)][DBLP ] J. Log. Program., 1990, v:9, n:1, pp:33-44 [Journal ] Taisuke Sato , Hisao Tamaki First Order Compiler: A Deterministic Logic Program Synthesis Algorithm. [Citation Graph (0, 0)][DBLP ] J. Symb. Comput., 1989, v:8, n:6, pp:605-627 [Journal ] Masayuki Numao , Taisuke Sato Tutorial Series on Web-computing - Preface. [Citation Graph (0, 0)][DBLP ] New Generation Comput., 2001, v:19, n:2, pp:193- [Journal ] Taisuke Sato , Hisao Tamaki Existential Continuation. [Citation Graph (0, 0)][DBLP ] New Generation Comput., 1989, v:6, n:4, pp:421-438 [Journal ] Hisao Tamaki , Taisuke Sato Program Transformation Through Meta-shifting. [Citation Graph (0, 0)][DBLP ] New Generation Comput., 1983, v:1, n:1, pp:93-98 [Journal ] Taisuke Sato Equivalence-Preserving First-Order Unfold/Fold Transformation Systems. [Citation Graph (0, 0)][DBLP ] Theor. Comput. Sci., 1992, v:105, n:1, pp:57-84 [Journal ] Taisuke Sato , Hisao Tamaki Enumeration of Success Patterns in Logic Programs. [Citation Graph (0, 0)][DBLP ] Theor. Comput. Sci., 1984, v:34, n:, pp:227-240 [Journal ] Neng-Fa Zhou , Taisuke Sato , Yi-Dong Shen Linear Tabling Strategies and Optimizations [Citation Graph (0, 0)][DBLP ] CoRR, 2007, v:0, n:, pp:- [Journal ] Variational Bayes via Propositionalization. [Citation Graph (, )][DBLP ] Generative Modeling by PRISM. [Citation Graph (, )][DBLP ] Evaluating Abductive Hypotheses using an EM Algorithm on BDDs. [Citation Graph (, )][DBLP ] New Advances in Logic-Based Probabilistic Modeling by PRISM. [Citation Graph (, )][DBLP ] Statistical Learning of Probabilistic BDDs. [Citation Graph (, )][DBLP ] Logic-Based Probabilistic Modeling. [Citation Graph (, )][DBLP ] Identification of MCMC Samples for Clustering. [Citation Graph (, )][DBLP ] Variational Bayes via propositionalized probability computation in PRISM. [Citation Graph (, )][DBLP ] CHR(PRISM)-based Probabilistic Logic Learning [Citation Graph (, )][DBLP ] Search in 0.276secs, Finished in 0.279secs