文章基本信息

标题：Support Vector Machines in R
本地全文：下载
作者：Alexandros Karatzoglou ; David Meyer ; Kurt Hornik 等
期刊名称：Journal of Statistical Software
印刷版ISSN：1548-7660
电子版ISSN：1548-7660
出版年度：2006
卷号：15
期号：1
页码：1-28
语种：English
出版社：University of California, Los Angeles
摘要：Being among the most popular and efficient classification and regression methods currently available, implementations of support vector machines exist in almost every popular programming language. Currently four R packages contain SVM related software. The purpose of this paper is to present and compare these implementations.