| Presentation | 1998/6/18 Support Vector Machines for Multi-class Pattern Classification Problems Hiroshi SHIMODAIRA, Koichi SATO, Milan VLACH, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A Support Vector Machine (SVM) is a universal learning machine whose decision surface is parameterized by a set of support vectors, and by a set of corresponding weights. The SVM proposed by Cortes and Vapnik is originally designed to solve two-class classification problems by finding an optimal decision surface in a very high dimensional feature space where the input vectors are transformed by a non-linear mapping. In order to apply the SVM to multi-class classification problems without losing the optimality, a single optimization problem for a set of SVMs is defined in this paper. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | SVM / VC-dimension / Generalization / SRM / Quadratic-programming |
| Paper # | PRMU98-36 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 1998/6/18(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Support Vector Machines for Multi-class Pattern Classification Problems |
| Sub Title (in English) | |
| Keyword(1) | SVM |
| Keyword(2) | VC-dimension |
| Keyword(3) | Generalization |
| Keyword(4) | SRM |
| Keyword(5) | Quadratic-programming |
| 1st Author's Name | Hiroshi SHIMODAIRA |
| 1st Author's Affiliation | School of Information Science, Japan Advanced Institute of Science and Technology() |
| 2nd Author's Name | Koichi SATO |
| 2nd Author's Affiliation | School of Information Science, Japan Advanced Institute of Science and Technology |
| 3rd Author's Name | Milan VLACH |
| 3rd Author's Affiliation | School of Information Science, Japan Advanced Institute of Science and Technology |
| Date | 1998/6/18 |
| Paper # | PRMU98-36 |
| Volume (vol) | vol.98 |
| Number (no) | 126 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |