Evolutionary wrapper approaches for training set selection as preprocessing mechanism for support vector machines: Experimental evaluation and support vector analysis
Support vector machines (SVMs) are popular and accurate classifiers. We study if SVMs can be further improved using training set selection (TSS). We adjust wrapper TSS techniques for SVMs. Experimental evaluation shows that filter TSS techniques cannot improve the accuracy of SVMs. Experimental evaluation shows that evolutionary based wrapper TSS techniques significantly improve SVMs.
training set selection support vector machines data reduction