| Presentation | 2007-10-18 Variational Bayesian Clustering Method Using Mixture of Exponential Family Distributions Kazuho WATANABE, Shotaro AKAHO, Masato OKADA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Various data types including binary or integer are encountered in some real-world data modeling problems. In such cases, the Gaussian assumption on the data distribution may be inappropriate. Mixtures of exponential family distributions enable to carry out clustering data of different types. Although a learning algorithm based on variational Bayes was derived in a general framework for this model, some detailed calculations are necessary to apply specific practically important mixtures to this framework. This report gives the variational Bayesian algorithms for mixtures of specific exponential family distributions such as binomial, Poisson and exponential. Approximation scheme using Laplace's method is also presented. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Mixture Model / Exponential Family / Variational Bayes / Laplace Approximation |
| Paper # | NC2007-35 |
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| Committee | NC |
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| Conference Date | 2007/10/11(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) | Variational Bayesian Clustering Method Using Mixture of Exponential Family Distributions |
| Sub Title (in English) | |
| Keyword(1) | Mixture Model |
| Keyword(2) | Exponential Family |
| Keyword(3) | Variational Bayes |
| Keyword(4) | Laplace Approximation |
| 1st Author's Name | Kazuho WATANABE |
| 1st Author's Affiliation | Department of Complexity Science and Engineering, The University of Tokyo() |
| 2nd Author's Name | Shotaro AKAHO |
| 2nd Author's Affiliation | The National Institute of Advanced Industrial Science and Technology (AIST) Neuroscience Research Institute |
| 3rd Author's Name | Masato OKADA |
| 3rd Author's Affiliation | Department of Complexity Science and Engineering, The University of Tokyo |
| Date | 2007-10-18 |
| Paper # | NC2007-35 |
| Volume (vol) | vol.107 |
| Number (no) | 263 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |