5.txt

This complete matlab for neural network

发信人: eastcamel (Happy Digger!), 信区: DataMining
标  题: Re: svm and bayes rule in Classification
发信站: 南京大学小百合站 (Thu Jul  4 15:07:16 2002), 站内信件


http://www.kernel-machines.org/publications.html
【 在 nope (明朗朗的生活) 的大作中提到: 】
: 可有全文?
: 【 在 GzLi (笑梨) 的大作中提到: 】
: : 篇名： Support Vector Machines and the Bayes Rule in Classification 
: : 刊名： Data Mining and Knowledge Discovery 
: : ISSN： 1384-5810 
: : 卷期： 6 卷 3 期 出版日期： 200207  
: : 页码： 从 259 页到 275 页共 17 页 
: : 作者： Lin Yi   Department of Statistics, University of Wisconsin, Madison
: : , 1210 West Dayton Street, Madison, WI 53706-1685, USA. [e-mail]
: : 文摘： 
: : The Bayes rule is the optimal classification rule if the underlying distr..
: :  of the data is known. In practice we do not know the underlying distribu..
: : , and need to “learn” classification rules from the data. One way to de..
: :  classification rules in practice is to implement the Bayes rule approxim..
: :  by estimating an appropriate classification function. Traditional statis..
: :  methods use estimated log odds ratio as the classification function. Sup..
: :  vector machines (SVMs) are one type of large margin classifier, and the 
: : relationship between SVMs and the Bayes rule was not clear. In this paper
: : , it is shown that the asymptotic target of SVMs are some interesting cla..
: : ication
: (以下引言省略 ... ...)

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