A Study of Selecting Parameters on Support Vector Machine with Multivariate Distribution
碩士 === 國立雲林科技大學 === 工業工程與管理研究所碩士班 === 95 === Accompanying different attribute materials need to be classified by the Support Vector Machine, the best combination of parameters C, γ and kernel function would be different. It is an important issue to choose these parameters. The purpose of this resear...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2007
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Online Access: | http://ndltd.ncl.edu.tw/handle/08056719733155489726 |