Multi-objective model selection for support vector machines
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
In this article, model selection for support vector machines is viewed as a multi-objective optimization problem, where model complexity and training accuracy define two conflicting objectives. Different optimization criteria are evaluated: Split modified radius margin bounds, which allow for comparing existing model selection criteria, and the training error in conjunction with the number of support vectors for designing sparse solutions.
Original language | English |
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Title of host publication | Evolutionary Multi-Criterion Optimization : Third International Conference, EMO 2005, Guanajuato, Mexico, March 9-11, 2005. Proceedings |
Editors | Carlos A. Coello Coello, Arturo Hernándex Aguirre, Eckart Zitzler |
Number of pages | 13 |
Publisher | Springer |
Publication date | 2005 |
Pages | 534-546 |
ISBN (Print) | 978-3-540-24983-2 |
ISBN (Electronic) | 978-3-540-31880-4 |
DOIs | |
Publication status | Published - 2005 |
Externally published | Yes |
Event | 3rd International Conference on Evolutionary Multi-Criterion Optimization - Guanajuato, Mexico Duration: 9 Mar 2005 → 11 Mar 2005 Conference number: 3 |
Conference
Conference | 3rd International Conference on Evolutionary Multi-Criterion Optimization |
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Nummer | 3 |
Land | Mexico |
By | Guanajuato |
Periode | 09/03/2005 → 11/03/2005 |
Series | Lecture notes in computer science |
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Volume | 3410 |
ISSN | 0302-9743 |
ID: 168564521