Presentation | 1994/12/16 Learning in a system with a degenerate Fisher information matrix Sumio Wanana, Kenji Fukumizu, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We study a learning system with a degenerate Fisher information matrix.The optimal parameter that maximizes the logarithm likelihood with an added term goes to the true parameter that maximizes the added term with probability one.The set of true parameters of a layered neural network consists of several manifolds.The asymptotic property of the optimal parameter,that of the training loss,and the prediction loss are also analyzed. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Fisher Information Matrix / Consistency / Layered Neural Network |
Paper # | NC94-56 |
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Conference Information | |
Committee | NC |
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Conference Date | 1994/12/16(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 | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Learning in a system with a degenerate Fisher information matrix |
Sub Title (in English) | |
Keyword(1) | Fisher Information Matrix |
Keyword(2) | Consistency |
Keyword(3) | Layered Neural Network |
1st Author's Name | Sumio Wanana |
1st Author's Affiliation | Ricoh Co.,Ltd.() |
2nd Author's Name | Kenji Fukumizu |
2nd Author's Affiliation | Ricoh Co.,Ltd. |
Date | 1994/12/16 |
Paper # | NC94-56 |
Volume (vol) | vol.94 |
Number (no) | 417 |
Page | pp.pp.- |
#Pages | 8 |
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