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Distributed quadratic programming solver for kernel SVM using genetic algorithm

Published • Jul 1, 2016
NobleIDNI0P73W92R43S03
Authors:
Dinesh Singh
,
C. Krishna Mohan

Abstract

Support vector machine (SVM) is a powerful tool for classification and regression problems, however, its time and space complexities make it unsuitable for large datasets. In this paper, we present GeneticSVM, an evolutionary computing based distributed approach to find optimal solution of quadratic...

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