Optimizing support vector machine parameters using cuckoo search algorithm via cross validation

Abstract

Support vector machine is one of the most popular techniques for solving classification problems. It is known that the choice of parameters directly affects its performance. This problem can be solved using a search algorithm which is suitable optimization technique for the parameter optimization. In this research, we propose a method to determine the… (More)

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