Title: Incremental Vector Support Vector Machine Learning Algorithm
Abstract: In view of that the common support vector machine(SVM)learning algorithm is time-consuming and lower in efficiency,an algorithm of incremental vector support vector machine(IV-SVM)learning algorithm is put forward here.A primary SVM classifier is acquired based on the selected increment vectors in the kernel space.According to Karush-Kuhn-Tucker(KKT)conditions,the original training samples are pruned through the primary SVM classifier.The final SVM classifier is obtained by training the primary SVM classifier with reduction samples.Simulation experiments show that,compared with the common support vector machine,IV-SVM can reduce the training time of large capacity data samples support vector machine.
Publication Year: 2012
Publication Date: 2012-01-01
Language: en
Type: article
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Cited By Count: 1
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