Masakazu Ishihata
Masakazu Ishihata
NTT Communication Science Laboratories
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Cited by
Cited by
Higher-order factorization machines
M Blondel, A Fujino, N Ueda, M Ishihata
Advances in Neural Information Processing Systems 29, 2016
Polynomial networks and factorization machines: New insights and efficient training algorithms
M Blondel, M Ishihata, A Fujino, N Ueda
International Conference on Machine Learning, 850-858, 2016
Evaluating Abductive Hypotheses using an EM Algorithm on BDDs.
K Inoue, T Sato, M Ishihata, Y Kameya, H Nabeshima
IJCAI, 810-815, 2009
Propositionalizing the EM algorithm by BDDs
M Ishihata, Y Kameya, T Sato, S Minato
Transactions of the Japanese Society for Artificial Intelligence 25 (3), 475-484, 2010
Exact computation of influence spread by binary decision diagrams
T Maehara, H Suzuki, M Ishihata
Proceedings of the 26th International Conference on World Wide Web, 947-956, 2017
Statistical emerging pattern mining with multiple testing correction
J Komiyama, M Ishihata, H Arimura, T Nishibayashi, S Minato
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
Efficient bandit combinatorial optimization algorithm with zero-suppressed binary decision diagrams
S Sakaue, M Ishihata, S Minato
International Conference on Artificial Intelligence and Statistics, 585-594, 2018
Accelerated best-first search with upper-bound computation for submodular function maximization
S Sakaue, M Ishihata
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Approximate and exact enumeration of rule models
S Hara, M Ishihata
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Kinetic models and qualitative abstraction for relational learning in systems biology
G Synnaeve, K Inoue, A Doncescu, H Nabeshima, Y Kameya, M Ishihata, ...
BIOSTEC Bioinformatics 2011, 2011
An EM algorithm on BDDs with order encoding for logic-based probabilistic models
M Ishihata, Y Kameya, T Sato, S Minato
Proceedings of 2nd Asian Conference on Machine Learning, 161-176, 2010
Bayesian inference for statistical abduction using Markov chain Monte Carlo
M Ishihata, T Sato
Asian Conference on Machine Learning, 81-96, 2011
Vertical federated learning for higher-order factorization machines
K Atarashi, M Ishihata
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 346-357, 2021
Enumeration of nonequivalent substitutional structures using advanced data structure of binary decision diagram
K Shinohara, A Seko, T Horiyama, M Ishihata, J Honda, I Tanaka
The Journal of Chemical Physics 153 (10), 2020
Computing NP-hard repetitiveness measures via MAX-SAT
H Bannai, K Goto, M Ishihata, S Kanda, D Köppl, T Nishimoto
arXiv preprint arXiv:2207.02571, 2022
Fréchet kernel for trajectory data analysis
K Takeuchi, M Imaizumi, S Kanda, Y Tabei, K Fujii, K Yoda, M Ishihata, ...
Proceedings of the 29th International Conference on Advances in Geographic …, 2021
Designing survivable networks with zero-suppressed binary decision diagrams
H Suzuki, M Ishihata, S Minato
WALCOM: Algorithms and Computation: 14th International Conference, WALCOM …, 2020
Exact computation of strongly connected reliability by binary decision diagrams
H Suzuki, M Ishihata, S Minato
Combinatorial Optimization and Applications: 12th International Conference …, 2018
Fast message passing algorithm using ZDD-based local structure compilation
M Ishihata, S Gao, S Minato
Advanced Methodologies for Bayesian Networks, 117-128, 2017
Constraint-based probabilistic modeling for statistical abduction
T Sato, M Ishihata, K Inoue
Machine learning 83, 241-264, 2011
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