Authors: | Alexandros Karatzoglou, David Meyer, Kurt Hornik |
Title: | Support Vector Machines in R |
Abstract: | 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. |
Page views:: 145273. Submitted: 2005-10-24. Published: 2006-04-06. |
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Paper: |
Support Vector Machines in R
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DOI: |
10.18637/jss.v015.i09
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