Reducing the Number of Training Samples for Fast Support Vector Machine Classification

Abstract

Support Vector Machines (SVMs) have gained wide acceptance because of the high generalization ability for a wide range of classification applications. Although SVMs have shown potential and promising performance in classification, they have been limited by speed particularly when the training data set is large. The hyper plane constructed by SVM is… (More)

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