Support Vector Machines in R
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 com...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Foundation for Open Access Statistics
2006-04-01
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| Series: | Journal of Statistical Software |
| Online Access: | http://www.jstatsoft.org/index.php/jss/article/view/1484 |
| _version_ | 1819239206349701120 |
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| author | Alexandros Karatzoglou David Meyer Kurt Hornik |
| author_facet | Alexandros Karatzoglou David Meyer Kurt Hornik |
| author_sort | Alexandros Karatzoglou |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-23T13:48:26Z |
| format | Article |
| id | doaj.art-ff2d1fa7a1a14a17be9230aa72bae246 |
| institution | Directory Open Access Journal |
| issn | 1548-7660 |
| language | English |
| last_indexed | 2024-12-23T13:48:26Z |
| publishDate | 2006-04-01 |
| publisher | Foundation for Open Access Statistics |
| record_format | Article |
| series | Journal of Statistical Software |
| spelling | doaj.art-ff2d1fa7a1a14a17be9230aa72bae2462022-12-21T17:44:40ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602006-04-0115112810.18637/jss.v015.i0988Support Vector Machines in RAlexandros KaratzoglouDavid MeyerKurt HornikBeing 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.http://www.jstatsoft.org/index.php/jss/article/view/1484 |
| spellingShingle | Alexandros Karatzoglou David Meyer Kurt Hornik Support Vector Machines in R Journal of Statistical Software |
| title | Support Vector Machines in R |
| title_full | Support Vector Machines in R |
| title_fullStr | Support Vector Machines in R |
| title_full_unstemmed | Support Vector Machines in R |
| title_short | Support Vector Machines in R |
| title_sort | support vector machines in r |
| url | http://www.jstatsoft.org/index.php/jss/article/view/1484 |
| work_keys_str_mv | AT alexandroskaratzoglou supportvectormachinesinr AT davidmeyer supportvectormachinesinr AT kurthornik supportvectormachinesinr |