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A Tutorial on Support Vector Machines for Pattern Recognition

Burges, Christopher J.C.·1998·Data Mining and Knowledge Discovery
DOI 10.1023/a:1009715923555
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Research works printed but not linked: 41

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  41. G. Wahba. Support vector machines, reproducing kernel hilbert spaces and the randomized gacv. In Advances in Kernel Methods-Support Vector Learning, Bernhard Schölkopf, Christopher J.C. Burges and Alexander J. Smola (eds.), MIT Press, Cambridge, MA, 1998 (to appear).

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Metadata

Authors
Burges, C. J. C.
Venue
Data Mining and Knowledge Discovery
Publisher
Springer Science and Business Media LLC
Published
1998-06
Volume
2
Issue
2
Pages
121-167
ISSN
  • 1384-5810 (ISSN-L)
  • 1573-756X
DOI
10.1023/a:1009715923555
OpenAlex
W2139212933
Cited by
16,429
References
6
FWCI
97.58
Type
journal article
Language
en
Open access
closed
Licence

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Burges, C. J. C. (1998). A Tutorial on Support Vector Machines for Pattern Recognition. Data Mining and Knowledge Discovery. https://doi.org/10.1023/a%3A1009715923555

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