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SUMIO WATANABE Researcher Information
Family Name |
渡邊 |
WATANABE |
First Name |
澄夫 |
SUMIO |
Organization |
Tokyo Institute of Technology
(formerly TokyoTech)School of Computing
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Title |
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ResearcherID |
C-3880-2015
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ORCID ID |
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Area of Supervision : Primary |
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Research Bases |
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Specialized Field |
General mathematics (including Probability theory/ Statistical mathematics) (Mathematics and Information Science) Others (Mathematical Learning Theory)
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Researcher Profile |
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Lecture Note |
TokyoTech Open Course Ware |
Degree |
神経回路網援用超音波影像法による3次元物体認識,
Thesis,
Doctor of Engineering,
1993/--/--,
Spectral analysis for multipole ghost,
Master of Science,
1984/--/--,
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Research Highlight |
SUMIO WATANABE.
Highly Cited Paper: A widely applicable Bayesian information criterion.
2019-2019.
被引用回数上位1%論文に選ばれました。Sumio Watanabe, A widely applicable Bayesian information criterion. Journal of Ma....
SUMIO WATANABE.
Highly Cited Paper: Asymptotic equivalence of Bayes Cross Validation and WAIC.
2017-.
被引用回数上位1%論文に選ばれました。Sumio Watanabe, Asymptotic Equivalence of Bayes Cross Validation and Widely Appli....
Masahiro Koujima,
SUMIO WATANABE.
ICANN Best Paper Award.
2017-2017.
SUMIO WATANABE.
Information Criteria WAIC and WBIC.
2010-2016.
New Information Criteria WAIC and WBIC were devised, which are available for an arbitrary triple of ....
SUMIO WATANABE.
Algebraic Geometry and Learning Theory.
2002-2017.
Based on algebraic geometry, new learning theory was established, which clarified statistical behavi....
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Related Page |
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