| Presentation | 2002/1/22 Probabilistic Information Processing and Statistical Physics Jun-ichi INOUE, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Nowadays we all know the importance of massive information processing, including information and communication, image processing, optimization etc.. As a candidate of the effective tools to treat these problems, statistical mechanics has attracted a great deal of attention. Statistical mechanical technique enable us to construct some probabilistic algorithms to solve the problems which are represented by probabilistic models. In addition, by using statistical mechanics, we can evaluate the performance of the algorithms extensively. In this talk, I show the relation between the probabilistic information processing and statistical physics in terms of Bayesian statistics, and explain what can be done by statistical physics from three different view points, namely, probabilistic modeling of the system, constructing mean-field algorithm and evaluating the statistical performance by so-called replica method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Statistical mechanics / Probabilistic model / Bayesian statistics / Mean-field approximation / Replica method |
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| Committee | NC |
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| Conference Date | 2002/1/22(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| 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) | Probabilistic Information Processing and Statistical Physics |
| Sub Title (in English) | |
| Keyword(1) | Statistical mechanics |
| Keyword(2) | Probabilistic model |
| Keyword(3) | Bayesian statistics |
| Keyword(4) | Mean-field approximation |
| Keyword(5) | Replica method |
| 1st Author's Name | Jun-ichi INOUE |
| 1st Author's Affiliation | Graduate School of Engineering, Hokkaido University() |
| Date | 2002/1/22 |
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| Volume (vol) | vol.101 |
| Number (no) | 616 |
| Page | pp.pp.- |
| #Pages | 6 |
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