Fuzzy Decision Model Using Support Vector Learning — A Kernel Function Based Approach

Fuzzy Decision Model Using Support Vector Learning — A Kernel Function Based Approach

博士 === 國立成功大學 === 資訊工程學系碩博士班 === 91 === Support Vector Machines (SVMs) have been recently introduced as a new technique for solving pattern recognition problems. According to the theory of SVMs, while traditional techniques for pattern recognition are based on the minimization of the empirical risk,...

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Bibliographic Details
Main Authors:	Pei-Yi Hao, 郝沛毅
Other Authors:	Jung-Hsien Chiang
Format:	Others
Language:	en_US
Published:	2003
Online Access:	http://ndltd.ncl.edu.tw/handle/18494175702000813535

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