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  Training Support Vector Machines with Multiple Equality Constraints

Kienzle, W., & Schölkopf, B. (2005). Training Support Vector Machines with Multiple Equality Constraints. In J. Gama, R. Camacho, P. Brazdil, A. Jorge, & L. Torgo (Eds.), Machine Learning: ECML 2005: 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005 (pp. 182-193). Berlin, Germany: Springer.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-D3A1-4 Version Permalink: https://hdl.handle.net/21.11116/0000-0004-DD12-F
Genre: Conference Paper

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https://link.springer.com/content/pdf/10.1007%2F11564096_21.pdf (Publisher version)
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 Creators:
Kienzle, W1, 2, Author           
Schölkopf, B1, 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: In this paper we present a primal-dual decomposition algorithm for support vector machine training. As with existing methods that use
very small working sets (such as Sequential Minimal
Optimization (SMO), Successive Over-Relaxation (SOR) or
the Kernel Adatron (KA)), our method scales well, is
straightforward to implement, and does not require an external QP
solver. Unlike SMO, SOR and KA, the method is applicable to a
large number of SVM formulations regardless of the number of
equality constraints involved. The effectiveness of our algorithm
is demonstrated on a more difficult SVM variant in this respect,
namely semi-parametric support vector regression.

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 Dates: 2005-11
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/11564096_21
BibTex Citekey: 3511
 Degree: -

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Title: 16th European Conference on Machine Learning (ECML 2005)
Place of Event: Porto, Portugal
Start-/End Date: 2005-10-03 - 2005-10-07

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Source 1

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Title: Machine Learning: ECML 2005: 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005
Source Genre: Proceedings
 Creator(s):
Gama, J, Editor
Camacho, R, Editor
Brazdil, PB, Editor
Jorge, AM, Editor
Torgo, L, Editor
Affiliations:
-
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 182 - 193 Identifier: ISBN: 978-3-540-29243-2

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 3720 Sequence Number: - Start / End Page: - Identifier: -