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基于Bayes分类的PAC-Bayesian定理证明
引用本文:刘妙妙,赵联文,宋海龙,姜英.基于Bayes分类的PAC-Bayesian定理证明[J].吉首大学学报(自然科学版),2013,34(6):19-21.
作者姓名:刘妙妙  赵联文  宋海龙  姜英
作者单位:(西南交通大学数学学院,四川 成都 610031)
基金项目:中央高校基本科研业务费专项资金资助(SWJTU11CX155)
摘    要:采用类似基于Gibbs分类的PAC-Bayesian定理的证明方法,证明基于Bayes分类的PAC-Bayesian定理.对于PAC-Bayesian定理的证明采用Bayes分类,可以方便有效地运用到统计问题中来解决相关问题.

关 键 词:Bayesian方法  Bayes分类  PAC-Bayesian  

Proof of PAC-Bayesian Theorem Based on Bayes Classifier
LIU Miao-miao,ZHAO Lian-wen,SONG Hai-long,JIANG Ying.Proof of PAC-Bayesian Theorem Based on Bayes Classifier[J].Journal of Jishou University(Natural Science Edition),2013,34(6):19-21.
Authors:LIU Miao-miao  ZHAO Lian-wen  SONG Hai-long  JIANG Ying
Institution:(College of Mathematics,Southwest Jiaotong University,Chengdu 610031,China)
Abstract:Method of proving PAC-bayesian theorem based on Gibbs classification is used to the proof based on Bayes classification. Through the Bayes classification,the theorem can be applied to the statisti- cal problems conveniently and effectively to solve related problems.
Keywords:Bayesian method  Bayes classifier PAC-Bayesian
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