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Learning With Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Abstract
(2003). Learning With Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. Journal of the American Statistical Association: Vol. 98, No. 462, pp. 489-489.
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Metadata
- Authors
- Williams, C. K. I.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 2003-06
- Volume
- 98
- Issue
- 462
- Pages
- 489-489
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W3144619878
- Cited by
- 4,281
- References
- 0
- FWCI
- 91.17
- Type
- journal article
- Language
- en
- Open access
- closed
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- Williams, C. K. I. (2003). Learning With Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. Journal of the American Statistical Association. https://doi.org/10.1198/jasa.2003.s269
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
