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back | new search | print Karatzoglou, Alexandros; Meyer, David; Hornik, Kurt: Support Vector Machines in R Research Report Series / Department of Statistics and Mathematics, Nr. 21, October 2005 Department of Statistics and Mathematics , Wirtschaftsuniversität Wien, Augasse 2-6, A-1090 Wien, Austria, 2005 Holdings from the WU library catalog | document ID: oai:epub.wu-wien.ac.at:epub-wu-01_89f Download document 24 pages/1208 kB © Copyright notice  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. (author's abstract)  Keywords: Support-Vektor-Maschine / R / support vector machines / R © 2009 University Library and Institute for Information Business, Vienna University of Economics and Business | Thu Sep 2 19:27:04 2010