Volume 33 Issue 09
Sep.  2007
Turn off MathJax
Article Contents
Liu Yun, Tang Fagen, Lin Guangyanet al. Robust proximal support vector machine[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(09): 1090-1093. (in Chinese)
Citation: Liu Yun, Tang Fagen, Lin Guangyanet al. Robust proximal support vector machine[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(09): 1090-1093. (in Chinese)

Robust proximal support vector machine

  • Received Date: 13 Sep 2006
  • Publish Date: 30 Sep 2007
  • 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.

     

  • loading
  • [1] 邓乃扬,田英杰. 数据挖掘中的新方法——支持向量机[M]. 北京:科学出版社,2004 Deng Naiyang,Tian Yingjie. A new method of datamining:SVM[M]. Beijing:Science Press,2004(in Chinese) [4] 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 [2] 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  [3] Lin Chunfu, Wang Shengde. Fuzzy support vector machines[J]. IEEE Transactions on Neural Networks, 2002, 13(2):464-471 [5] 范昕炜,杜树新,吴铁军. 可补偿类别差异的加权支持向量机算法[J]. 中国图象图形学报,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] 张翔, 肖小玲, 徐光祐. 基于样本之间紧密度的模糊支持向量机算法[J].软件学报,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)
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views(3016) PDF downloads(1757) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return