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» Multi-Objective Optimization for SVM Model Selection
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HIS
2007
13 years 9 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin
GECCO
2009
Springer
118views Optimization» more  GECCO 2009»
14 years 2 months ago
A PSO-based framework for dynamic SVM model selection
Marcelo N. Kapp, Robert Sabourin, Patrick Maupin
IWANN
2007
Springer
14 years 1 months ago
An EA Multi-model Selection for SVM Multiclass Schemes
Multiclass problems with binary SVM classifiers are commonly treated as a decomposition in several binary sub-problems. An open question is how to properly tune all these sub-prob...
Gilles Lebrun, Olivier Lezoray, Christophe Charrie...
GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
14 years 25 days ago
Comparing Discrete and Continuous Genotypes on the Constrained Portfolio Selection Problem
In financial engineering the problem of portfolio selection has drawn much attention in the last decades. But still unsolved problems remain, while on the one hand the type of mod...
Felix Streichert, Holger Ulmer, Andreas Zell
GECCO
2008
Springer
232views Optimization» more  GECCO 2008»
13 years 8 months ago
An efficient SVM-GA feature selection model for large healthcare databases
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
Rick Chow, Wei Zhong, Michael Blackmon, Richard St...