Parameter learning and support vector reduction in support vector regression
碩士 === 國立中山大學 === 電機工程學系研究所 === 94 === The selection and learning of kernel functions is a very important but rarely studied problem in the field of support vector learning. However, the kernel function of a support vector regression has great influence on its performance. The kernel function projec...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2006
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Online Access: | http://ndltd.ncl.edu.tw/handle/11288181706062580666 |