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        <datestamp>2006-04-06</datestamp>
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          <dc:title>Support Vector Machines in R</dc:title>
          <dc:creator>Alexandros Karatzoglou</dc:creator>
          <dc:creator>David Meyer</dc:creator>
          <dc:creator>Kurt Hornik</dc:creator>
          <dc:date>2006-04-06</dc:date>
          <dc:publisher>Journal of Statistical Software</dc:publisher>
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            <![CDATA[Vol. 15, Issue 9, Apr 2006
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. 

]]>
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