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  • 标题:Support Vector Machines in R
  • 本地全文:下载
  • 作者:Alexandros Karatzoglou ; David Meyer ; Kurt Hornik
  • 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.
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