| Presentation | 2004/10/11 Bayesian network modeling and reasoning algorithms for Practical Applications Yuichi 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 practical applications like prediction and decision making under uncertainty. We introduce some practical approaches using Bayesian network. Then, Bayesian network algorithms in current on-going research projects(application to customer modeling, and infant modeling for simulating infants' accidents in houses) are also explained. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Bayesian network / Probabilistic models / Probabilistic reasoning / Human modeling |
| Paper # | NC2004-62 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2004/10/11(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 network modeling and reasoning algorithms for Practical Applications |
| Sub Title (in English) | |
| Keyword(1) | Bayesian network |
| Keyword(2) | Probabilistic models |
| Keyword(3) | Probabilistic reasoning |
| Keyword(4) | Human modeling |
| 1st Author's Name | Yuichi MOTOMURA |
| 1st Author's Affiliation | National Institute of Advanced Industrial Science and Technology() |
| Date | 2004/10/11 |
| Paper # | NC2004-62 |
| Volume (vol) | vol.104 |
| Number (no) | 348 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |