Support vector machine parameter tuning using firefly algorithm
Published • Apr 1, 2016
NobleIDNI3P84W31R81S79
Authors:,,
Eva Tuba
Lazar Mrkela
Milan Tuba
Abstract
Performance of the support vector machine strongly depends on parameters settings. One of the most common algorithms for parameter tuning is grid search, combined with cross validation. This algorithm is often time consuming and inaccurate. In this paper we propose the use of stochastic metaheuristi...
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