Title: A comparison of reduced support vector machines

Authors: Lihong Zheng, Xiangjian He

Addresses: Faculty of Information Technology, University of Technology, Sydney, P.O. Box 123, Broadway, NSW 2007, Australia. ' Faculty of Information Technology, University of Technology, Sydney, P.O. Box 123, Broadway, NSW 2007, Australia

Abstract: In this paper, we first briefly review some knowledge of Support Vector Machines (SVMs). This includes not only SVM|s dual forms and solution forms but also the general process and properties of SVM. Then aiming at speeding up SVMs, some kinds of Reduced SVMs (RSVMs) are discussed in detailed. A comparison among them is presented in several aspects. Finally, we show research issues that need to be resolved or investigated further. A number of future trends are also briefly sketched.

Keywords: support vector machines; SVM; hyperplane; reduced SVM; RSVM; parameters selection; pattern recognition.

DOI: 10.1504/IJISTA.2008.017274

International Journal of Intelligent Systems Technologies and Applications, 2008 Vol.4 No.3/4, pp.301 - 312

Available online: 22 Feb 2008 *

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