Research keywords (1)：
Computational Learning Theory
Research theme for competitive and other funds (14)：
2020 - 2025 避難所と避難経路提案のための支援システムの開発
2014 - 2017 Learning of formal graph systems and its application to graph mining
2011 - 2013 On relations of bound graphs and order ideals
2008 - 2010 On bound graphs and poset operations
2008 - 2010 Link Invariant From The Computational Topological Viewpoint
2008 - 2010 Machine learning theory for graph pattern languages and its applications to graph mining
2006 - 2007 On subgraphs and subposets of bound graphs
2005 - 2007 Link Theory from the Computational Topological Viewpoint
2004 - 2005 On bound graphs and simplicial vertices
2002 - 2003 On bound graphs and non-maximal cliques
2002 - 項木言語族の学習可能性について
2002 - Leaning of team tree languages
2000 - 2001 On bound graphs and cique covers
1998 - 1999 On relations between upper bound graphs and graph operations
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Papers (22)：
Takayoshi SHOUDAI, Satoshi MATSUMOTO, Yusuke SUZUKI, Tomoyuki UCHIDA, Tetsuhiro MIYAHARA. Parameterized Formal Graph Systems and Their Polynomial-Time PAC Learnability. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. 2023. E106.A. 6. 896-906
Haruki Koshiba, Satoshi Matsumoto, Yasuki Iizuka. A Video Analyzing Method for Competitive Rifle Shooting. 9th International Congress on Advanced Applied Informatics(IIAI-AAI). 2020. 802-803
Satoshi Matsumoto, Tomoyuki Uchida, Takayoshi Shoudai, Yusuke Suzuki, Tetsuhiro Miyahara. An Efficient Learning Algorithm for Regular Pattern Languages Using One Positive Example and a Linear Number of Membership Queries. IEICE Trans. Inf. Syst. 2020. 103-D. 3. 526-539
Yusuke Suzuki, Tetsuhiro Miyahara, Takayoshi Shoudai, Tomoyuki Uchida, Satoshi Matsumoto, Tetsuji Kuboyama. Enumeration of Maximally Frequent Ordered Tree Patterns with Height-Constrained Variables for Trees. IPSJ Transactions on Mathematical Modeling and its Applications. 2019. 12. 3. 78-88
Satoshi Matsumoto, Tomoyuki Uchida, Takayoshi Shoudai, Yusuke Suzuki, Tetsuhiro Miyahara. Exact learning of regular pattern languages from one positive example using a linear number of membership queries. Lecture Notes in Engineering and Computer Science. 2019. 2239. 204-209
松本 哲志, 正代 隆義, 内田 智之, 鈴木 祐介, 宮原 哲浩. A Learning Algorithm for Erasing Regular Pattern Languages Using One Positive Example and a Linear Number of Membership Queries. 情報処理学会第174回アルゴリズム研究会. 2019
1993 - 1995 Kyushu University Graduate School of Information Science and Electrical Engineering Department of Information Science
1989 - 1993 Kyushu University School of Sciences Department of Mathematics
Professional career (1)：
Doctor of Science (Kyushu University)
Work history (4)：
2022 - 現在 東海大学 理学部 情報数理学科 教授
2007 - 東海大学 理学部 情報数理学科 准教授
1999 - 東海大学 理学部 情報数理学科 講師
1998/04 - 東海大学 理学部 情報数理学科 助手
Association Membership(s) (3)：
Information Processing Society of Japan
, The Institute of Electronics, Information and Communication Engineers
, The Japanese Society for Artificial Intelligence
