| Presentation | 1998/2/5 From Data to Dynamics:Hierarchical Bayesian Approach to Nonlinear H Hamagishi, J Sugi, M Saito, T Matsumoto, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A Hierarchical Bayesian Approach is formulated for Nonlinear Time Series Prediction problems and is applied to chaotic time series prediction of a continuous nonlinear dynamical system. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Neural Net / Bayesian Inference / Nonlinear Prediction / Chaos |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 1998/2/5(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Nonlinear Problems (NLP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | From Data to Dynamics:Hierarchical Bayesian Approach to Nonlinear |
| Sub Title (in English) | |
| Keyword(1) | Neural Net |
| Keyword(2) | Bayesian Inference |
| Keyword(3) | Nonlinear Prediction |
| Keyword(4) | Chaos |
| 1st Author's Name | H Hamagishi |
| 1st Author's Affiliation | Department of Electrical, Electronics and Computer Engineering, Waseda University() |
| 2nd Author's Name | J Sugi |
| 2nd Author's Affiliation | Department of Electrical, Electronics and Computer Engineering, Waseda University |
| 3rd Author's Name | M Saito |
| 3rd Author's Affiliation | Department of Electrical, Electronics and Computer Engineering, Waseda University |
| 4th Author's Name | T Matsumoto |
| 4th Author's Affiliation | Department of Electrical, Electronics and Computer Engineering, Waseda University |
| Date | 1998/2/5 |
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| Volume (vol) | vol.97 |
| Number (no) | 530 |
| Page | pp.pp.- |
| #Pages | 8 |
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