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林直輝 研究業績一覧 (11件)
- 2005
- 2004
- 2003
- 2002
- 2001
- 全件表示
論文
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Naoki Hayashi.
The exact asymptotic form of Bayesian generalization error in latent Dirichlet allocation,
Neural Networks,
Vol. 137,
pp. 127-137,
May 2021.
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Naoki Hayashi.
Variational approximation error in non-negative matrix factorization,
Neural Networks,
Vol. 126,
pp. 65-75,
June 2020.
公式リンク
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Keita Harada,
Naoki Hayashi,
Katsushi Kagaya.
Individual behavioral type captured by a Bayesian model comparison in cap making by sponge crab,
PeerJ,
May 2020.
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Naoki Hayashi,
Sumio Watanabe.
Asymptotic Bayesian Generalization Error in Latent Dirichlet Allocation and Stochastic Matrix Factorization,
Springer Nature Computer Science,
Springer Nature,
vol. 1,
no. 2,
pp. 1-22,
Feb. 2020.
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Naoki Hayashi,
SUMIO WATANABE.
Upper Bound of Bayesian Generalization Error in Non-Negative Matrix Factorization,
NEUROCOMPUTING,
Elsevier Science Publishers,
Vol. 266,
pp. 21-28,
Nov. 2017.
国際会議発表 (査読有り)
国内会議発表 (査読なし・不明)
学位論文
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Statistical Learning Theory of Parameter-Restricted Singular Models,
Exam Summary,
Doctor (Science),
Tokyo Institute of Technology,
2021/06/30,
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Statistical Learning Theory of Parameter-Restricted Singular Models,
Thesis,
Doctor (Science),
Tokyo Institute of Technology,
2021/06/30,
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Statistical Learning Theory of Parameter-Restricted Singular Models,
Summary,
Doctor (Science),
Tokyo Institute of Technology,
2021/06/30,
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