Rchr
J-GLOBAL ID：200901022168115948
Update date: Sep. 01, 2020
Hirowatari Eiju
ヒロワタリ エイジュ | Hirowatari Eiju
Affiliation and department：
Job title：
Associate Professor
Research field (1)：
Intelligent informatics
Research keywords (2)：
知能情報学
, Intelligent Informatics
Research theme for competitive and other funds (2)：
- 1995 - 実数値関数の帰納推論
- 1995 - Inductive Inference of Real-Valued Functions
MISC (22)：
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E.Hirowatari, K.Hirata, T.Miyahara. Learnability of Recursively Enumerable Sets of Recursive Real-Valued Functions. Proc. of CiE (Computability in Europe) 2007: Computation and Logic in the Real World. 2007. Technical report no. 487. 186-193
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E.Hirowatari, K.Hirata, T.Miyahara. Learnability of Recursively Enumerable Sets of Recursive Real-Valued Functions. Proc. of CiE (Computability in Europe) 2007: Computation and Logic in the Real World. 2007. 186-193
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Eiju Hirowatari, Kouichi Hirata, Tetsuhiro Miyahara. Prediction of recursive real-valued functions from finite examples. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2006. 4012. 224-234
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E.Hirowatari, K.Hirata, T.Miyahara. Finite Prediction of Recursive Real-Valued Functions. In Proceedings of CiE (Computability in Europe) 2006: Logical Approaches to Computational Barriers. 2006. CSR 7-2006. 140-149
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M.Sugiyama, E.Hirowatari, H.Tsuiki, A.Yamamoto. Learning from Real-Valued Data with the Model Inference Mechanism through the Gray-Code Embedding. In Proceedings of the Workshop on Learning with Logics and Logics for Learning 2006 (LLLL2006) In Conjunction with the 20th Annual Conference of the Japanese Society for Artificial Intelligence. 2006. 31-37
ｍore...
Professional career (1)：
Association Membership(s) (2)：
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