Paper Title:
An Improved Incremental Training Algorithm of Support Vector Machines
  Abstract

In order to figure out the deficiency of the SVM on extensive sample, nature of SV is studied in this paper. An improved incremental training algorithm is put forward based on dimensional of samples. A chosen gene which got by density and distance criterion is used in this method. In this method the number of training samples is decreased and the space information is keeped. So, the training speed is improved while the precision is not reduced. And the simulation proved the efficiency of this method.

  Info
Periodical
Advanced Materials Research (Volumes 301-303)
Chapter
Chapter 2: Measuring and Testing Techniques
Edited by
Riza Esa and Yanwen Wu
Pages
677-681
DOI
10.4028/www.scientific.net/AMR.301-303.677
Citation
L. Qin, H. W. Yin, X. J. Shi, Z. C. Xiao, "An Improved Incremental Training Algorithm of Support Vector Machines", Advanced Materials Research, Vols. 301-303, pp. 677-681, 2011
Online since
July 2011
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Price
$32.00
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