New Algorithms for Support Vector Classification andTheir Applications in Communications
碩士 === 國立雲林科技大學 === 電子與資訊工程研究所 === 94 === Support vector machines are well-known for its remarkable performance in classification and regression. In this thesis, we present two new forms of support vector classification (SVC), m-norm proximal support vector classifier (M-PSVC) and anti-attraction sc...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2006
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| Online Access: | http://ndltd.ncl.edu.tw/handle/37109673460607719285 |