| Presentation | 1995/7/27 Regularization Models with Multiple Hyperparameters and Applications Atsushi Matsui, Takashi Matsumoto, |
|---|---|
| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The standard regularization theory converts ill-posed problems into parameterized family of minimization problems. A Bayesian approach is taken to derive conditions for optimal (multiple) hyperparameters and optimal regularizer. Examples are also given. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | standard regularization / ill-posed problem / bayesian inference / multiple hyperparameter |
| Paper # | |
| Date of Issue |
| Conference Information | |
| Committee | NC |
|---|---|
| Conference Date | 1995/7/27(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Neurocomputing (NC) |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Regularization Models with Multiple Hyperparameters and Applications |
| Sub Title (in English) | |
| Keyword(1) | standard regularization |
| Keyword(2) | ill-posed problem |
| Keyword(3) | bayesian inference |
| Keyword(4) | multiple hyperparameter |
| 1st Author's Name | Atsushi Matsui |
| 1st Author's Affiliation | Department of Electrical Engineering, Waseda University() |
| 2nd Author's Name | Takashi Matsumoto |
| 2nd Author's Affiliation | Department of Electrical Engineering, Waseda University |
| Date | 1995/7/27 |
| Paper # | |
| Volume (vol) | vol.95 |
| Number (no) | 189 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |