[1] | ������,��Ӣ��. �����ھ��е��·���——֧��������[M]. ����:��ѧ������,2004 Deng Naiyang,Tian Yingjie. A new method of datamining:SVM[M]. Beijing:Science Press,2004(in Chinese) | [2] | Fung G, Mangasarian O L. Proximal support vector machine classifiers Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.New York:ACM,2001:77-86 | [3] | Chew H G, Bogner R E, Lim C C. Dual ν-support vector machine with error rate and training size biasing ICASSP IEEE Int Conf Acoust Speech Signal Process Proc. Piscataway,NJ:IEEE,2001,2:1269-1272 �� | [4] | Lin�� Chunfu, Wang Shengde. Fuzzy support vector machines[J].IEEE Transactions on Neural Networks.2002, 13(2):464-471 | [5] | ����,������,������. �ɲ���������ļ�Ȩ֧���������㷨[J]. �й�ͼ��ͼ��ѧ��,2003, 8(9):1037-1042 Fan Xinwei, Du Shuxin, Wu Tiejun. Weighted support vector machine based classification algorithm for uneven class size problems[J]. Journal of Image and Graphics,2003,8(9):1037-1042(in Chinese) | [6] | ����, ФС��, ���v. ��������֮����ܶȵ�ģ��֧���������㷨[J].���ѧ��,2006,17(5):951-958 Zhang Xiang, Xiao Xiaoling, Xu Guangyou. Fuzzy support vector machine based on affinity among samples[J]. Journal of Software, 2006,17(5):951-958(in Chinese) |
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