Presentation 1995/7/27
Regularization Models with Multiple Hyperparameters and Applications
Atsushi Matsui, Takashi Matsumoto,
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Abstract(in English) The standard regularization theory converts ill-posed problems into parameterized family of minimization problems. A Bayesian approach is taken to derive conditions for optimal (multiple) hyperparameters and optimal regularizer. Examples are also given.
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Keyword(in English) standard regularization / ill-posed problem / bayesian inference / multiple hyperparameter
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Committee NC
Conference Date 1995/7/27(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Regularization Models with Multiple Hyperparameters and Applications
Sub Title (in English)
Keyword(1) standard regularization
Keyword(2) ill-posed problem
Keyword(3) bayesian inference
Keyword(4) multiple hyperparameter
1st Author's Name Atsushi Matsui
1st Author's Affiliation Department of Electrical Engineering, Waseda University()
2nd Author's Name Takashi Matsumoto
2nd Author's Affiliation Department of Electrical Engineering, Waseda University
Date 1995/7/27
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Volume (vol) vol.95
Number (no) 189
Page pp.pp.-
#Pages 8
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