An Introduction to Support Vector Machines

Schölkopf, B

doi:10.1016/B978-044451378-6/50001-6

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An Introduction to Support Vector Machines

Schölkopf, B. (2003). An Introduction to Support Vector Machines. In M. Akritas, & D. Politis (Eds.), Recent Advances and Trends in Nonparametric Statistics (pp. 3-17). Amsterdam, The Netherlands: Elsevier.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-DDC6-4 Version Permalink: https://hdl.handle.net/21.11116/0000-0005-7445-B

Genre: Conference Paper

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https://www.sciencedirect.com/science/article/pii/B9780444513786500016 (Publisher version) Open Access status unknown

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Creators:
Schölkopf, B^{1, 2}, Author

Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794

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Abstract: This article gives a short introduction to the main ideas of statistical learning theory, support vector machines, and kernel feature spaces.

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Dates: Date issued: 2003

Publication Status: Issued

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Identifiers: BibTex Citekey: 2464
DOI: 10.1016/B978-044451378-6/50001-6

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Title: International Conference on Recent Advances and Trends in Nonparametric Statistics 2002

Place of Event: Crete, Greece

Start-/End Date: 2002-07-15 - 2002-07-19

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Title: Recent Advances and Trends in Nonparametric Statistics

Source Genre: Book

Creator(s):
Akritas, MG, Editor
Politis, DN, Editor

Affiliations:
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Publ. Info: Amsterdam, The Netherlands : Elsevier

Pages: 512 Volume / Issue: - Sequence Number: - Start / End Page: 3 - 17 Identifier: ISBN: 0-444-51378-7