Masakazu Ishihata (Selection)

List of publications from the DBLP Bibliography Server - FAQ

Ask others: ACM DL/Guide -

6 Masakazu Ishihata, Taisuke Sato, Shin-ichi Minato: Compiling Bayesian Networks for Parameter Learning Based on Shared BDDs. Australasian Conference on Artificial Intelligence 2011: 203-212

5 Gabriel Synnaeve, Katsumi Inoue, Andrei Doncescu, Hidetomo Nabeshima, Yoshitaka Kameya, Masakazu Ishihata, Taisuke Sato: Kinetic Models and Qualitative Abstraction for Relational Learning in Systems Biology. BIOINFORMATICS 2011: 47-54

4 Masakazu Ishihata, Taisuke Sato: Bayesian inference for statistical abduction using Markov chain Monte Carlo. Journal of Machine Learning Research - Proceedings Track 20: 81-96 (2011)

3 Taisuke Sato, Masakazu Ishihata, Katsumi Inoue: Constraint-based probabilistic modeling for statistical abduction. Machine Learning 83(2): 241-264 (2011)

2 Masakazu Ishihata, Yoshitaka Kameya, Taisuke Sato, Shin-ichi Minato: An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models. Journal of Machine Learning Research - Proceedings Track 13: 161-176 (2010)

1 Katsumi Inoue, Taisuke Sato, Masakazu Ishihata, Yoshitaka Kameya, Hidetomo Nabeshima: Evaluating Abductive Hypotheses using an EM Algorithm on BDDs. IJCAI 2009: 810-815

Selection of 6 from 6 records - Masakazu Ishihata has 7 coauthors

Last update 2012-02-18 CET by the DBLP Team —

Content released under the ODC-BY 1.0 license — See also our legal information page

6		Masakazu Ishihata, Taisuke Sato, Shin-ichi Minato: Compiling Bayesian Networks for Parameter Learning Based on Shared BDDs. Australasian Conference on Artificial Intelligence 2011: 203-212
5		Gabriel Synnaeve, Katsumi Inoue, Andrei Doncescu, Hidetomo Nabeshima, Yoshitaka Kameya, Masakazu Ishihata, Taisuke Sato: Kinetic Models and Qualitative Abstraction for Relational Learning in Systems Biology. BIOINFORMATICS 2011: 47-54
4		Masakazu Ishihata, Taisuke Sato: Bayesian inference for statistical abduction using Markov chain Monte Carlo. Journal of Machine Learning Research - Proceedings Track 20: 81-96 (2011)
3		Taisuke Sato, Masakazu Ishihata, Katsumi Inoue: Constraint-based probabilistic modeling for statistical abduction. Machine Learning 83(2): 241-264 (2011)
2		Masakazu Ishihata, Yoshitaka Kameya, Taisuke Sato, Shin-ichi Minato: An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models. Journal of Machine Learning Research - Proceedings Track 13: 161-176 (2010)
1		Katsumi Inoue, Taisuke Sato, Masakazu Ishihata, Yoshitaka Kameya, Hidetomo Nabeshima: Evaluating Abductive Hypotheses using an EM Algorithm on BDDs. IJCAI 2009: 810-815