Particle swarm optimization for linear support vector machines based classifier selection

Particle swarm optimization is a metaheuristic technique widely applied to solve various optimization problems as well as parameter selection problems for various classification techniques. This paper presents an approach for linear support vector machines classifier optimization combining its sele...

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Bibliographic Details
Main Authors: Gintautas Garšva, Paulius Danėnas
Format: Article
Language:English
Published: Vilnius University Press 2014-01-01
Series:Nonlinear Analysis
Subjects:
Online Access:http://www.journals.vu.lt/nonlinear-analysis/article/view/13690