A comparison of reduced support vector machines

Lihong Zheng, Xiangjian He

Research output: Journal PublicationArticlepeer-review

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.

Original languageEnglish
Pages (from-to)301-312
Number of pages12
JournalInternational Journal of Intelligent Systems Technologies and Applications
Volume4
Issue number3-4
DOIs
Publication statusPublished - 2008
Externally publishedYes

Keywords

  • Reduced SVM (RSVM)
  • Support Vector Machine (SVM)
  • hyperplane
  • parameters selection
  • pattern recognition

ASJC Scopus subject areas

  • General Computer Science

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