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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