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渡邊澄夫 2007年 研究業績一覧 (16件 / 207件)
論文
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KAZUHO WATANABE,
SUMIO WATANABE.
Stochastic complexities of general mixture models in variational Bayesian learning,
Neural Networks,
Vol. 20,
No. 2,
pp. 210-217,
Mar. 2007.
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SHINICHI NAKAJIMA,
SUMIO WATANABE.
Variational Bayes Solution of Linear Neural Networks and its Generalization Performance,
Neural Computation,
Vol. 19,
No. 4,
pp. 1112-1153,
2007.
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KAZUHO WATANABE,
SUMIO WATANABE.
Estimating the Data Region Using Minimum and Maximum Values,
Interdisciplinary Information Sciences,
Vol. 13,
No. 2,
pp. 151-161,
2007.
国際会議発表 (査読有り)
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Keisuke Yamazaki,
Sumio Watanabe.
Experimental Bayesian Generalization Error of Non-Regular Models under Covariate Shift,
International Conference on Neural Information Processing,
Proc. of ICONIP 2007,
Nov. 2007.
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Kenji Nagata,
SUMIO WATANABE.
Analysis of Exchange Ratio for Exchange Monte Carlo Method,
Proc. of FOCI2007,
2007.
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Keisuke Yamazaki,
SUMIO WATANABE,
Masashi Sugiyama.
Asymptotic Bayesian Generalization Error When Training and Test Distributions Are Different,
Proc. of ICML,
2007.
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SHINICHI NAKAJIMA,
SUMIO WATANABE.
Generalization Error of Automatic Relevance Determination,
Proc. of ICANN,
pp. 1-10,
2007.
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TAKESHI MATSUDA,
SUMIO WATANABE.
On a Singular Point to Contribute to a Learning Coefficient and Weighted Resolution of Singularities,
Proc. of ICANN,
pp. 11-18,
2007.
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YU NISHIYAMA,
SUMIO WATANABE.
Theoretical Analysis of Accuracy of Gaussian Belief Propagation,
Proc. of ICANN,
pp. 29-38,
2007.
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Kenji Nagata,
SUMIO WATANABE.
Algebraic Geometric Study of Exchange Monte Carlo Method,
Proc. of ICANN,
pp. 687-696,
2007.
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Ryosuke Iriguchi,
SUMIO WATANABE.
Estimation of Poles of Zeta Function in Learning Theory Using Pade Approximation,
Proc.of ICANN,
pp. 88-97,
2007.
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miki aoyagi,
SUMIO WATANABE.
Resolution of Singularities and Stochastic Complexity of Complete Bipartite Graph-Type Spin Model in Bayesian Estimation,
Proc. of MDAI,
pp. 443-454,
2007.
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SUMIO WATANABE,
KAZUHO WATANABE.
Stochastic complexity for mixture of exponential families in generalized variational Bayes,
Theoretical Computer Science,
Vol. 387,
pp. 4-17,
2007.
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Keisuke Yamazaki,
Motoaki Kawanabe,
Sumio Watanabe,
Masashi Sugiyama,
Klaus-Robert Mueller.
Asymptotic Bayesian generalization error when training and test distributions are different,
24th International Conference on Machine Learning (ICML2007),
Proceedings of 24th International Conference on Machine Learning (ICML2007),
pp. 1079-1086,
2007.
国際会議発表 (査読なし・不明)
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