| Presentation | 2005/10/11 Stochastic Complexity of Stochastic Context Free Grammer on Variational Bayesian method Tikara HOSINO, Kazuho WATANABE, Sumio WATANABE, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Variational Bayesian method is proposed for the approximation of Bayesian method. In spite of efficiency and experimental good performance, their mathematical property has not yet been clarified. In this paper we analyze variational Bayesian Stochastic Context Free Grammer which includes the true one thus the model is non-identifiable. We derive their asymptotic stochastic complexity. It is shown that in some prior condition, the stochastic complexity is much smaller than identifiable models. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Stochastic Context Free Grammer / Non-identifiable models / Variational Bayesian method / Stochastic Complexity |
| Paper # | NC2005-50 |
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| Committee | NC |
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| Conference Date | 2005/10/11(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) | Stochastic Complexity of Stochastic Context Free Grammer on Variational Bayesian method |
| Sub Title (in English) | |
| Keyword(1) | Stochastic Context Free Grammer |
| Keyword(2) | Non-identifiable models |
| Keyword(3) | Variational Bayesian method |
| Keyword(4) | Stochastic Complexity |
| 1st Author's Name | Tikara HOSINO |
| 1st Author's Affiliation | Computational Intelligence and System Science, Tokyo Inistitute of Technology:Nihon Unisys, Ltd.() |
| 2nd Author's Name | Kazuho WATANABE |
| 2nd Author's Affiliation | Computational Intelligence and System Science, Tokyo Inistitute of Technology |
| 3rd Author's Name | Sumio WATANABE |
| 3rd Author's Affiliation | Precision and Intelligence Laboratory, Tokyo Institute of Technology |
| Date | 2005/10/11 |
| Paper # | NC2005-50 |
| Volume (vol) | vol.105 |
| Number (no) | 342 |
| Page | pp.pp.- |
| #Pages | 6 |
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