Sato, Taisuke

17 publications

MLJ 2023 Differentiable Learning of Matricized DNFs and Its Application to Boolean Networks Taisuke Sato, Katsumi Inoue
IJCAI 2018 Abducing Relations in Continuous Spaces Taisuke Sato, Katsumi Inoue, Chiaki Sakama
IJCAI 2011 A General MCMC Method for Bayesian Inference in Logic-Based Probabilistic Modeling Taisuke Sato
ACML 2011 Bayesian Inference for Statistical Abduction Using Markov Chain Monte Carlo Masakuzu Ishihata, Taisuke Sato
MLJ 2011 Constraint-Based Probabilistic Modeling for Statistical Abduction Taisuke Sato, Masakazu Ishihata, Katsumi Inoue
ACML 2010 An EM Algorithm on BDDs with Order Encoding for Logic-Based Probabilistic Models Masakazu Ishihata, Yoshitaka Kameya, Taisuke Sato, Shin-ichi Minato
IJCAI 2009 Evaluating Abductive Hypotheses Using an EM Algorithm on BDDs Katsumi Inoue, Taisuke Sato, Masakazu Ishihata, Yoshitaka Kameya, Hidetomo Nabeshima
IJCAI 2007 Compiling Bayesian Networks by Symbolic Probability Calculation Based on Zero-Suppressed BDDs Shin-ichi Minato, Ken Satoh, Taisuke Sato
IJCAI 2007 Inside-Outside Probability Computation for Belief Propagation Taisuke Sato
IJCAI 2005 Generative Modeling with Failure in PRISM Taisuke Sato, Yoshitaka Kameya, Neng-Fa Zhou
JAIR 2001 Parameter Learning of Logic Programs for Symbolic-Statistical Modeling Taisuke Sato, Yoshitaka Kameya
IJCAI 1997 PRISM: A Language for Symbolic-Statistical Modeling Taisuke Sato, Yoshitaka Kameya
IJCAI 1993 Evolutionary Learning Strategy Using Bug-Based Search Hitoshi Iba, Tetsuya Higuchi, Hugo de Garis, Taisuke Sato
ALT 1993 Inductive Resolution Taisuke Sato, Sumitaka Akiba
ALT 1991 Algorithmic Learning Theory, 2nd International Workshop, ALT '91, Tokyo, Japan, October 23-25, 1991, Proceedings Setsuo Arikawa, Akira Maruoka, Taisuke Sato
IJCAI 1979 Predictive Control Parser: Extended LINGOL Hozumi Tanaka, Taisuke Sato, Fumio Motoyoshi
IJCAI 1979 SYSP: A New Programming Language for the Next Generation Toshio Yokoi, Shooichi Yokoyama, Taisuke Sato, Fumio Motoyoshi, Kazuhiro Fuchi