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  General cost functions for support vector regression.

Smola, A., Schölkopf, B., & Müller, K.-R. (1998). General cost functions for support vector regression. In T. Downs, M. Frean, & M. Gallagher (Eds.), Ninth Australian Conference on Neural Networks (ACNN 1998) (pp. 79-83). St. Lucia.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-E952-1 Version Permalink: http://hdl.handle.net/21.11116/0000-0005-DC7D-8
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. Moreover 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: 1998-02
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: 799
 Degree: -

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Title: Ninth Australian Conference on Neural Networks (ACNN 1998)
Place of Event: Brisbane, Australia
Start-/End Date: 1998-02-11 - 1998-02-13

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Title: Ninth Australian Conference on Neural Networks (ACNN 1998)
Source Genre: Proceedings
 Creator(s):
Downs, T, Editor
Frean, M, Editor
Gallagher, M, Editor
Affiliations:
-
Publ. Info: St. Lucia
Pages: 296 Volume / Issue: - Sequence Number: - Start / End Page: 79 - 83 Identifier: ISBN: 1-86499-026-0