A Support Vector Machine Based on Bayesian Criterion |
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Authors: | YUChuan-qiang GUO Xiao-song WANG Yu WANG Zhen-ye |
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Affiliation: | YUChuan-qiang1,GUO Xiao-song1,WANG Yu2,WANG Zhen-ye1(1.The Second Artillery Engineering College,Xi'an 710025,Shaanxi,China,2.The Second Artillery Weather Center,Beijing 100089,China) |
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Abstract: | SVM handles classification problem only considering samples themselves and the classification effect depends on the characteristics of the training samples but not the current information of classified problem.From the phenomena of data crossing in systems,this paper improves the classification effect of SVM by adding the prior probability item reflecting the classified problem information into the decision function,which fuses the Bayesian criterion into SVM.The detailed deducing process and realizing step... |
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Keywords: | mathematical statistics support vector machine Bayesian criterion classification prior probability sample |
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