Generating an SVM Kernel function using genetic algorithm

BALDOS IMMER

Date of Award

2012

Document Type

Thesis

Degree Name

Master of Science in Computer Science

Department

Information Systems & Computer Science

Abstract

SVMs' performance is affected greatly by the choice of kernel function and kernel parameters. This study made use of a complete binary tree of depth 3 and the Genetic Algorithm to automate the non-trivial task of finding a kernel function that best classi

Comments

The C7.B36 2012

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