SATO TAISUKE

J-GLOBAL         Last updated: Jul 24, 2015 at 15:25
 
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Name
SATO TAISUKE
Degree
Doctor of Engineering
Research funding number
90272690

Research Interests

 
 

Research Areas

 
 

Academic & Professional Experience

 
 
   
 
Professor, Tokyo Institute of Technology Graduate School of Information Science and Engineering, Department of Computer Science, Graduate School of Information Science and Engineering Computer Science
 
1988
 - 
1995
:
 
1995
   
 
-:
 

Education

 
 
 - 
1975
Graduate School, Division of Science and Engineering, Tokyo Institute of Technology
 

Awards & Honors

 
2012
Distinguished Research Award, Association for Logic Programming
 
1995
Best Paper Restropective Award, Association for Logic Programming
 

Published Papers

 
Taisuke Sato,Philipp Meyer
TPLP   14(6) 909-937   2014   [Refereed]
Taisuke Sato,Keiichi Kubota,Yoshitaka Kameya
CoRR   abs/1410.3935    2014   [Refereed]
Taisuke Sato,Keiichi Kubota
CoRR   abs/1303.5659    2013   [Refereed]
Yoshitaka Kameya,Taisuke Sato
Proceedings of the Twelfth SIAM International Conference on Data Mining, Anaheim, California, USA, April 26-28, 2012.   816-827   2012   [Refereed]
Taisuke Sato,Masakazu Ishihata,Katsumi Inoue
Machine Learning   83(2) 241-264   2011   [Refereed]
Masakazu Ishihata,Taisuke Sato,Shin-ichi Minato
AI 2011: Advances in Artificial Intelligence - 24th Australasian Joint Conference, Perth, Australia, December 5-8, 2011. Proceedings   203-212   2011   [Refereed]
Gabriel Synnaeve,Katsumi Inoue,Andrei Doncescu,Hidetomo Nabeshima,Yoshitaka Kameya,Masakazu Ishihata,Taisuke Sato
BIOINFORMATICS 2011 - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms, Rome, Italy, 26-29 January, 2011   47-54   2011   [Refereed]
Yoshitaka Kameya,Satoru Nakamura,Tatsuya Iwasaki,Taisuke Sato
IEEE 23rd International Conference on Tools with Artificial Intelligence, ICTAI 2011, Boca Raton, FL, USA, November 7-9, 2011   873-875   2011   [Refereed]
Taisuke Sato
IJCAI 2011, Proceedings of the 22nd International Joint Conference on Artificial Intelligence, Barcelona, Catalonia, Spain, July 16-22, 2011   1472-1477   2011   [Refereed]
Masakazu Ishihata,Yoshitaka Kameya,Taisuke Sato
Inductive Logic Programming - 21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 - August 3, 2011, Revised Selected Papers   189-203   2011   [Refereed]

Misc

 
Variational Bayes via propositionalized probability computation in PRISM
Sato, T., Kameya, Y., Kurihara, K.
Annals of Mathematics and Artificial Intelligence   54(1-3) 135-158   2009
Efficient Fixpoint Computation in Linear Tabling
Zhou Neng-Fa Sato Taisuke
Proceedings of the Fifth ACM-SIGPLAN International Conference on Principles and Practice of Declarative Programming (PPDP2003)   275-283   2003
A New Perspective of PRISM Relational Modeling
Sato Taisuke Zhou Neng-Fa
Proceedings of IJCAI-03 workshop on Learning Statistical Models from Relational Data (SRL2003)   133-139   2003
Toward logical-probabilistic modeling of complex systems
Sato, T. Motomura, Y.
Proc. of the International Conference on Advances in Infrastructure for e-Business, e-Education, e-Science, and e-Medicine on the Internet      2002
Parameter Learning of Logic Programs for Symbolic-statistical Modeling
Sato, T. Kameya, Y.
Journal of Artificial Intelligence Research   15 391-454   2001

Books etc

 
Statistical abduction with tabulation in Computational Logic: From Logic Programming into the Future
Springer   2002   

Conference Activities & Talks

 
Generative modeling by PRISM
The 25th International Conference on Logic Programming (ICLP-2009),   2009   
Evaluating abductive hypotheses using an EM algorithm on BDDs
The 21st International Joint Conference on Artificial Intelligence (IJCAI-2009)   2009   
Compiling Bayesian networks by symbolic probability calculation based on Zero-suppressed BDDs
Proceedings of the 20th International Joint Conference on Artificial Intelligence   2007   
Inside-outside probability computation for belief propagation
Proceedings of the 20th International Joint Conference on Artificial Intelligence   2007   
Parallel EM Learning for Symbolic-Statistical Models
Proceedings of the International Workshop on Data-Mining and Statistical Science   2006   

Research Grants & Projects

 
symbolic-statistical modeling
statistical parsing
inductive logic programming