Grid - Quadtree Algorithm for Support Vector Classification Parameters Selection

Abstract

The Support Vector Classification (SVC) is a powerful machine learning technique for pattern recognition purposes, whose efficiency depends significantly on its parameters selection. This paper proposes an algorithm that integrates the quadtree data structure with the grid search to select the optimal (C,) SVC parameters. The goal is to reduce… (More)

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Cite this paper

@inproceedings{Beltrami2014GridQ, title={Grid - Quadtree Algorithm for Support Vector Classification Parameters Selection}, author={Monica Beltrami and Carlos Lindbeck da Silva}, year={2014} }