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《Journal of Beijing University of Chemical Technology(Natural Science Edition)》 2008-02
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A support vector data description algorithm based on an adaptive kernel function

WANG ZiQiang DUAN AiLing ZHANG DeXian (School of Information Science and Engineering,Henan University of Technology,Zhengzhou Henan 450001,China)  
A support vector data description classification algorithm based on an adaptive kernel function is proposed in order to further improve the classification accuracy and running speed of a support vector classifier.The essential features of the algorithm are as follows:A kernel modification algorithm is constructed according to the conformal mapping of information geometry and the modified kernel function is subsequently used to train the classification algorithm in support vector data description.The experimental results show that the proposed algorithm possesses higher classification accuracy and faster running speed.
【Fund】: 国家自然科学基金(70701013);; 河南省自然科学基金(0611030100);; 郑州市科技攻关项目(2006-08-01)
【CateGory Index】: TP391.1
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