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�������պ����ѧѧ�� 2007, Vol. 33 Issue (09) :1090-1093    DOI:
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��ܿ, �Ʒ���, �ֹ���*
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Robust proximal support vector machine
Liu Yun, Tang Fagen, Lin Guangyan*
School of Computer Science and Technology, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

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Abstract�� Since proximal support vector machine(PSVM) is susceptible to uneven class sizes and is sensitive to outliers and noises in the training set, a robust PSVM was proposed. By imposing fuzzy memberships to each data point and introducing different error penalties for different classes, the robustness of PSVM was greatly enhanced. Both the affinity among samples and the relation between a sample and its class center were considered when calculating fuzzy memberships. Moreover, the similarity between the algorithm and ridge regression model was well demonstrated. Experiment results show that the robust PSVM has demonstrated enhanced classification ability.
Keywords�� classification   support vector machine   uneven class sizes   fuzzy memberships     
Received 2006-09-13;
About author: �� ܿ(1982-),Ů,ɽ����̨��,˶ʿ��,tina@cse.buaa.edu.cn.
��ܿ, �Ʒ���, �ֹ���.һ�ָĽ��Ľ���֧���������㷨[J]  �������պ����ѧѧ��, 2007,V33(09): 1090-1093
Liu Yun, Tang Fagen, Lin Guangyan.Robust proximal support vector machine[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2007,V33(09): 1090-1093
http://bhxb.buaa.edu.cn//CN/     ��     http://bhxb.buaa.edu.cn//CN/Y2007/V33/I09/1090
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