Presentation | 2005/7/20 Relationship between Properties of Kernel Function and ν-SVM Solutions Kazushi IKEDA, |
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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 |
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Conference Information | |
Committee | NC |
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Conference Date | 2005/7/20(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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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 |