Presentation | 2005/3/23 Generalization Error of Variational Bayes Approach in Reduced Rank Regression Shinichi NAKAJIMA, Sumio WATANABE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We prove that the variational Bayes approach in three-layer linear neural networks or reduced-rank regression models is asymptotically equivalent to a Stein type truncated estimation, and then theoretically clarify its generalization error. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | variational Bayes / reduced-rank / neural networks / Stein / shrinkage / unidentifiable model |
Paper # | NC2004-213 |
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Committee | NC |
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Conference Date | 2005/3/23(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Generalization Error of Variational Bayes Approach in Reduced Rank Regression |
Sub Title (in English) | |
Keyword(1) | variational Bayes |
Keyword(2) | reduced-rank |
Keyword(3) | neural networks |
Keyword(4) | Stein |
Keyword(5) | shrinkage |
Keyword(6) | unidentifiable model |
1st Author's Name | Shinichi NAKAJIMA |
1st Author's Affiliation | Tokyo Institute of Technology:Nikon Corporation() |
2nd Author's Name | Sumio WATANABE |
2nd Author's Affiliation | Tokyo Institute of Technology |
Date | 2005/3/23 |
Paper # | NC2004-213 |
Volume (vol) | vol.104 |
Number (no) | 760 |
Page | pp.pp.- |
#Pages | 6 |
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