Applied Research in Iatrology classification Based on SVM

摘要：

in the paper we introduced the soft margin SVC to solve linearly inseparable problems. Compared with the kernel trick, it is obvious that the two approaches actually solve the problems in different manners. Then we provided a novel view to design a kernel function based on a general proximity relation mapping. It shows better classification performance than the common Mercer kernels experimentally in the iatrology area.

关键词： SVM(Support vector machines) data mining algorithms classifier

作者: LiBi

作者单位: School of mathematics and computer Ningxia University, Yinchuan, Ningxia, China

会议类型: 国际会议

会议名称: 2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

会议地点: 上海

会议语种:英文

页码: 2058-2062

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）