标题:Study on support vector machine based on 1-norm
作者:Pan, Mei-Qin ;He, Guo-Ping ;Han, Cong-Ying ;Xue, Xin ;Shi, You-Qun
作者机构:[Pan, Mei-Qin ;He, Guo-Ping ;Han, Cong-Ying ;Xue, Xin ] College of Information Science and Engineering, Shandong University of Science and Technology, 更多
通讯作者:Pan, MQ
来源:Journal of Donghua University (English Edition)
出版年:2006
卷:23
期:6
页码:148-152
摘要:The model of optimization problem for Support Vector Machine(SVM) is provided, which based on the definitions of the dual norm and the distance between a point and its projection onto a given plane. The model of improved Support Vector Machine based on 1-norm(1 - SVM) is provided from the optimization problem, yet it is a discrete programming. With the smoothing technique and optimality knowledge, the discrete programming is changed into a continuous programming. Experimental results show that the algorithm is easy to implement and this method can select and suppress the problem features more efficiently. Illustrative examples show that the 1 - SVM deal with the linear or nonlinear classification well.
收录类别:EI
资源类型:期刊论文
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