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《Application Research of Computers》 2009-01
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Study on combinability of SVM and AdaBoost algorithm

ZHANG Xiao-long,REN Fang(School of Computer Science & Technology,Wuhan University of Science & Technology,Wuhan 430081,China)  
This paper described an algorithm——Boost-SVM,which put SVM into AdaBoost framework,trying to improve the learning accuracy of the SVM algorithm.The experimental results show that the proposed method has a competitive learning ability and acquires better accuracy than SVM.
【Fund】: 国家自然科学基金资助项目(60674115)
【CateGory Index】: TP301.6
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【Co-citations】
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1 HA Zhang1,LI Chuanfu2,WANG Jinping2,ZHOU Kangyuan1,YANG Zhensen1 1 Department of Electronic Engineering and Information Science,University of Science and Technology of China,Hefei 230027;2 First Affiliated Hospital of Anhui Traditional Chinses Medicine College,Hefei 230031;A new evaluation method for medical image segmentation[J];Beijing Biomedical Engineering;2008-04
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