Kazunori Honda, Kazuki Natori, Shota Sugahara, Takashi Isozaki, Maomi Ueno. Learning huge Bayesian network structures using the transitivity. THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS. 2019. D. 12. 796-811
Kazuki Natori, Masaki Uto, Maomi Ueno. Learning huge Bayesian networks by RAI algorithm using Bayes factor. THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS. 2018. D. 5. 754-768
Kazuki Natori, Masaki Uto, Maomi Ueno. Consistent Learning Bayesian Networks with Thousands of Variables. Proc. of The 3rd International Workshop on Advanced Methodologies for Bayesian Networks, PMLR. 2017. 73. 57-68
厳密V-Structure同定手法を組み込んだRAIアルゴリズムによる大規模ベイジアンネットワーク学習
(The 47th annual meeting of the Behaviormetric Society 2019)
大規模ベイジアンネットワーク学習
(The 47th annual meeting of the Behaviormetric Society 2019)
Bayes factorを用いた制約ベースアプローチに基づく大規模ベイジアンネットワーク学習
(46th annual meeting of the Behaviormetric Society 2018)
Bayes factorに基づくRAIアルゴリズムを用いた大規模ベイジアンネットワーク学習
(The 20th Information-Based Induction Science Workshop (IBISML2017) 2017)
Consistent learning Bayesian networks with thousands variables
(The 31st Annual Conference of the Japanese Society for Artificial Intelligence, 2017 2017)
2016 - 2020 The University of Electro-Communications Graduate school of Informatics and Engineering Department of Computer and Network Engineering
2014 - 2016 The University of Electro-Communications Graduate school of Informatics and Systems Department of Social Intelligence and Informatics
2010 - 2014 The University of Electro-Communications Faculty of Informatics and Engineering
2007 - 2010 Hikawa High School Academic Course
Professional career (1)：
Master of Engineering (The University of Electro-Communications)
Awards (2)：
2017/07 - The 31th Annual Conference of the Japan Society for Artificial Intelligence JSAI Annual Conference Student Incentive Award Consistent learning Bayesian networks with thousands variables
2016/03 - The University of Electro-Communications 電気通信大学目黒会 目黒会賞 Constraint-based learning Bayesian networks using Bayes factor
Association Membership(s) (2)：
THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS
, THE JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE
