| Presentation | 1998/10/24 Training Data Selection for Optimal Generalization in a Trigonometric Polynomial Model Masashi SUGIYAMA, Hidemitsu OGAWA, |
|---|---|
| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A necessary and sufficient condition of a set of training data that provides the optimal generalization capability in a trigonometric polynomial model is derived. In addition to provide the optimal generalization capability, training sets which satisfy the condition also reduce memory usage and computational complexity required for learning. There are infinitly many training sets which satisfy the condition. A selection method of training sets which further reduce both memory usage and computational complexity is presented. Finally, effectiveness of the proposed method is confirmed through computer simulations. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | active learning / training data selection / generalization capability / projection learning / trigonometric model / pseudo orthgonal basis |
| Paper # | NC98-50 |
| Date of Issue |
| Conference Information | |
| Committee | NC |
|---|---|
| Conference Date | 1998/10/24(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) | Training Data Selection for Optimal Generalization in a Trigonometric Polynomial Model |
| Sub Title (in English) | |
| Keyword(1) | active learning |
| Keyword(2) | training data selection |
| Keyword(3) | generalization capability |
| Keyword(4) | projection learning |
| Keyword(5) | trigonometric model |
| Keyword(6) | pseudo orthgonal basis |
| 1st Author's Name | Masashi SUGIYAMA |
| 1st Author's Affiliation | Department of Computer Science, Graduate School of Information Science and Engineering, Tokyo Institute of Technology.() |
| 2nd Author's Name | Hidemitsu OGAWA |
| 2nd Author's Affiliation | Department of Computer Science, Graduate School of Information Science and Engineering, Tokyo Institute of Technology. |
| Date | 1998/10/24 |
| Paper # | NC98-50 |
| Volume (vol) | vol.98 |
| Number (no) | 365 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |