| Presentation | 2003/12/1 Bayesian Learning Adapted to State Transitions Yoshifusa Ito, Cidambi Srinivasan, Hiroyuki Izumi, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A Bayesian neural network can output approximate posterior probabilities of categories when its learning is completed. The outputs can be used as discriminant functions and an observable is allocated to the category with maximum posterior probability. We treat a neural network adapted to the source of observables which migrates among several states. A transition of state causes a change in the ratio of priors as well as that of posterior probabilities of categories. In this paper, we show that if an ordinary Bayesian neural network, having rather a small number of units, is supplied with a few additional input units, it can learn simultaneously state-wise distinct posterior probabilities. The learning algorithm and the result of simulations are also shown. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Bayesian decision / discriminant function / layered neural network / statetransition / approximation |
| Paper # | NC2003-102 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2003/12/1(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 Learning Adapted to State Transitions |
| Sub Title (in English) | |
| Keyword(1) | Bayesian decision |
| Keyword(2) | discriminant function |
| Keyword(3) | layered neural network |
| Keyword(4) | statetransition |
| Keyword(5) | approximation |
| 1st Author's Name | Yoshifusa Ito |
| 1st Author's Affiliation | Department of Information and Policy Studies Aichi-Gakuin University() |
| 2nd Author's Name | Cidambi Srinivasan |
| 2nd Author's Affiliation | Department of Statistics University of Kentucky |
| 3rd Author's Name | Hiroyuki Izumi |
| 3rd Author's Affiliation | Department of Information and Policy Studies Aichi-Gakuin University |
| Date | 2003/12/1 |
| Paper # | NC2003-102 |
| Volume (vol) | vol.103 |
| Number (no) | 490 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |