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...

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Bibliographic Details
Main Authors: Wan-Chi Huang, 黃琬琦
Other Authors: none
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/08056719733155489726