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《Computer Engineering and Applications》 2008-32
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Combined classification algorithm based on improved AdaBoost and SVM

LI Ya-jun LIU Xiao-xia CHEN Ping Institute of Information Science and Technology,Northwest University,Xi'an 710127,China  
A combined classification algorithm based on improved AdaBoost and Support Vector Machine,is proposed in order to deal with the problems of multiclass classification.Adopt a rule sampling to solve the unbalance of samples in the SVM.Improving the AdaBoost makes it consider the importance of sparse sample distribution at the beginning,this is advantageous to the right demarcation of rare sample.Experiment proves this algorithm can raise the generalization ability compared with the standard SVM.
【Fund】: 陕西省自然科学基础基金项目(the Natural Science Foundation of Shaanxi Province of China under Grant No.2006F50);; 航空科学基金项目(No.06ZC31001)。
【CateGory Index】: TP391.41
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