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  Convex Cost Functions for Support Vector Regression

Smola, A., Schölkopf, B., & Müller, K.-R. (1998). Convex Cost Functions for Support Vector Regression. In L. Niklasson, M. Bodén, & T. Ziemke (Eds.), ICANN 98: 8th International Conference on Artificial Neural Networks, Skövde, Sweden, 2–4 September 1998 (pp. 99-104). London, UK: Springer.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-E94E-D Version Permalink: http://hdl.handle.net/21.11116/0000-0005-DBD6-3
Genre: Conference Paper

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 Creators:
Smola, AJ, Author              
Schölkopf, B1, Author              
Müller, K-R, Author              
Affiliations:
1External Organizations, ou_persistent22              

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 Abstract: The concept of Support Vector Regression is extended to a more general class of convex cost functions. It is shown how the resulting convex constrained optimization problems can be efficiently solved by a Primal-Dual Interior Point path following method. Both computational feasibility and improvement of estimation is demonstrated in the experiments.

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Language(s):
 Dates: 1998-09
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 1871
DOI: 10.1007%2F978-1-4471-1599-1_10.pdf
 Degree: -

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Title: 8th International Conference on Artificial Neural Networks (ICANN 1998)
Place of Event: Skövde, Sweden
Start-/End Date: 1998-09-02 - 1998-09-04

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Title: ICANN 98: 8th International Conference on Artificial Neural Networks, Skövde, Sweden, 2–4 September 1998
Source Genre: Proceedings
 Creator(s):
Niklasson, L, Editor
Bodén, M, Editor
Ziemke, T, Editor
Affiliations:
-
Publ. Info: London, UK : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 99 - 104 Identifier: ISBN: 978-3-540-76263-8

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Title: Perspectives in Neural Computing
Source Genre: Series
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -