| Presentation | 2003/7/22 Bayesian networks Yoichi MOTOMURA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Bayesian networks are probabilistic models that can be used for prediction and decision making under uncertainty. In order to use Bayesian networks for practical applications, learning (model construction) from actual data is important. In this paper, we show a model, probabilistic reasoning, statistical learning of Bayesian network. Applications of Bayesian network are also introduced. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Bayesian network / Probabilistic reasoning / Statistical learning / Trouble shooting / user modeling |
| Paper # | NC2003-38 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2003/7/22(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| 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) | Bayesian networks |
| Sub Title (in English) | |
| Keyword(1) | Bayesian network |
| Keyword(2) | Probabilistic reasoning |
| Keyword(3) | Statistical learning |
| Keyword(4) | Trouble shooting |
| Keyword(5) | user modeling |
| 1st Author's Name | Yoichi MOTOMURA |
| 1st Author's Affiliation | National Institute of Advanced Industrial Science and Technology, DHRC() |
| Date | 2003/7/22 |
| Paper # | NC2003-38 |
| Volume (vol) | vol.103 |
| Number (no) | 228 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |