A comparison of reduced support vector machines

Authors: Zheng, Lihong1; He, Xiangjian2

Source: International Journal of Intelligent Systems Technologies and Applications, Volume 4, Numbers 3-4, 22 February 2008 , pp. 301-312(12)

Publisher: Inderscience Publishers

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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: COMPUTING JOURNALS; Computing Science, Applications and Software; TECHNICAL JOURNALS; Electronic Systems, Control and Artificial Intelli; Materials and Manufacturing; Systems Engineering

Document Type: Research article

DOI: http://dx.doi.org/10.1504/IJISTA.2008.017274

Affiliations: 1: Faculty of Information Technology, University of Technology, Sydney, P.O. Box 123, Broadway, NSW 2007, Australia. 2: Faculty of Information Technology, University of Technology, Sydney, P.O. Box 123, Broadway, NSW 2007, Australia

Publication date: 2008-02-22

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  • Intelligent systems refer broadly to computer embedded or controlled systems, machines and devices that possess a certain degree of intelligence. International Journal of Intelligent Systems Technologies and Applications, a peer-reviewed double-blind refereed journal, publishes original papers featuring innovative and practical technologies related to the design and development of intelligent systems. Its coverage also includes papers on intelligent systems applications in areas such as manufacturing, bioengineering, agriculture, services, home automation and appliances, medical robots and robotic rehabilitations, space exploration, etc.
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