| Presentation | 1997/2/7 A hierachical Bayesian approach of ARD(Automatic Relevance Determination) with M.L.P. Y. Nakajima, T. Matsumoto, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Given data set D={t^m,x^m}^N_M=1 for training, there's a possibility that some of the input variables x^m are actually irrelevant to the prediction of the output variable. Weights are devided into groups which are connected to each input and a regularizer is assigned to each group. A hierachi Bayes approach is taken to perform ARD and regularizer comparison. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Neural Network / Hierachical Bayesian learning / ARD |
| Paper # | NLP96-149,NC96-103 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 1997/2/7(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
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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) | A hierachical Bayesian approach of ARD(Automatic Relevance Determination) with M.L.P. |
| Sub Title (in English) | |
| Keyword(1) | Neural Network |
| Keyword(2) | Hierachical Bayesian learning |
| Keyword(3) | ARD |
| 1st Author's Name | Y. Nakajima |
| 1st Author's Affiliation | Department of Electrical, Electronics, and Computer Engeneering, Waseda University() |
| 2nd Author's Name | T. Matsumoto |
| 2nd Author's Affiliation | Department of Electrical, Electronics, and Computer Engeneering, Waseda University |
| Date | 1997/2/7 |
| Paper # | NLP96-149,NC96-103 |
| Volume (vol) | vol.96 |
| Number (no) | 512 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |