| Presentation | 2005/7/20 Relationship between Properties of Kernel Function and ν-SVM Solutions Kazushi IKEDA, |
|---|---|
| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | How we should choose a kernel function in support vector machines (SVMs), is an important but difficult problem. In this paper, we discuss the properties of the solution of the ν-SVMs, a variation of SVMs in two extreme cases : All feature vectors are almost orthogonal and all feature vectors are almost the same. In the former case, the solution of the ν-SVM is nearly the center of gravity of the examples given while the solution is approximated to that of the ν-SVM with the linear kernel in the latter case. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Kernel method / support vector machine / ν-SVM / asymptotic properties / generalization ability |
| Paper # | NC2005-30 |
| Date of Issue |
| Conference Information | |
| Committee | NC |
|---|---|
| Conference Date | 2005/7/20(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 | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Relationship between Properties of Kernel Function and ν-SVM Solutions |
| Sub Title (in English) | |
| Keyword(1) | Kernel method |
| Keyword(2) | support vector machine |
| Keyword(3) | ν-SVM |
| Keyword(4) | asymptotic properties |
| Keyword(5) | generalization ability |
| 1st Author's Name | Kazushi IKEDA |
| 1st Author's Affiliation | Kyoto University() |
| Date | 2005/7/20 |
| Paper # | NC2005-30 |
| Volume (vol) | vol.105 |
| Number (no) | 211 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |