A comparison of reduced support vector machines
Source: International Journal of Intelligent Systems Technologies and Applications, Volume 4, Numbers 3-4, 22 February 2008 , pp. 301-312(12)
Publisher: Inderscience Publishers
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.
Document Type: Research article
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
- 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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