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A Tutorial on Support Vector Machines for Pattern Recognition
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Cites
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“The problem which drove the initial development of SVMs occurs in several guises -the bias variance tradeoff (Geman, Bienenstock and Doursat, 1992), capacity control (Guyon et al., 1992), overfitting (Montgomery and Peck, 1992) -but the basic idea is the same.”
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“…presented in the case where the co-domain of the linear layer is one-dimensional (i.e., the weight matrix reduces to a weight vector), especially in the literature on support vector and kernel machines (Boser et al., 1992; Burges, 1998) and in textbooks (Sch¨olkopf & Smola, 2002; Bishop, 2006).”
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(2000) · CrossRef Listing of Deleted DOIs · doi:10.1162/153244302760185243
Metadata
- Authors
- Burges, C. J. C.
- Venue
- Data Mining and Knowledge Discovery
- Published
- 1998-06
- Volume
- 2
- Issue
- 2
- Pages
- 121-167
- ISSN
- 1384-5810 (ISSN-L)
- 1573-756X
- OpenAlex
- W2139212933
- Cited by
- 16,429
- References
- 6
- FWCI
- 97.58
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springernature.com/gp/researchers/text-and-data-mining (tdm)
- www.springernature.com/gp/researchers/text-and-data-mining (vor)
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