Presentation | 2010-01-18 Rigorous Calculation Method of Bayes Marginal Likelihood in Normal Mixture Tetsutaro YAMADA, Keisuke YAMAZAKI, Sumio WATANABE, |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The Bayes marginal likelihood is one of the most important observables in Bayes learning. Several methods have been proposed and studied, for example, Markov chain Monte Carlo, mean field approximation, algebraic geometrical theory, and so on. However, it has been difficult to obtain the rigorous value of the Bayes marginal likelihood. In this paper, we propose a new method to calculate the rigorous Bayes margianl likelihood in normal mixture, which enables us to establish the foundation to measure how accurate several approximation methods are, and experimentally clarify its effectiveness. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Bayes marginal likelihood / rigorous calculation method / normal mixture |
Paper # | NC2009-76 |
Date of Issue |
Conference Information | |
Committee | NC |
---|---|
Conference Date | 2010/1/11(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | |
Vice Chair | |
Secretary | |
Assistant |
Paper Information | |
Registration To | Neurocomputing (NC) |
---|---|
Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Rigorous Calculation Method of Bayes Marginal Likelihood in Normal Mixture |
Sub Title (in English) | |
Keyword(1) | Bayes marginal likelihood |
Keyword(2) | rigorous calculation method |
Keyword(3) | normal mixture |
1st Author's Name | Tetsutaro YAMADA |
1st Author's Affiliation | Department of Computer Science, Tokyo Tech.() |
2nd Author's Name | Keisuke YAMAZAKI |
2nd Author's Affiliation | PI Lab, Tokyo Tech. |
3rd Author's Name | Sumio WATANABE |
3rd Author's Affiliation | PI Lab, Tokyo Tech. |
Date | 2010-01-18 |
Paper # | NC2009-76 |
Volume (vol) | vol.109 |
Number (no) | 363 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |