| Presentation | 2003/7/22 Kernel Machines Shotaro AKAHO, |
|---|---|
| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Kernel machines such as the support vector machine are reviewed. Most of them are not suffered from the local optimum problem, because they are basically linear machines. Moreover, regularization technique provides them with high generalization performance as well as considerable accuracy. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Support vector machine / Regularization / sparseness / Mathematical programming / Generalization |
| Paper # | NC2003-34 |
| Date of Issue |
| Conference Information | |
| Committee | NC |
|---|---|
| Conference Date | 2003/7/22(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) | Kernel Machines |
| Sub Title (in English) | |
| Keyword(1) | Support vector machine |
| Keyword(2) | Regularization |
| Keyword(3) | sparseness |
| Keyword(4) | Mathematical programming |
| Keyword(5) | Generalization |
| 1st Author's Name | Shotaro AKAHO |
| 1st Author's Affiliation | Neuroscience Research Institute, The National Institute of Advanced Industrial Science and Technology() |
| Date | 2003/7/22 |
| Paper # | NC2003-34 |
| Volume (vol) | vol.103 |
| Number (no) | 228 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |