Paper Title:
Research on Large Scale Data Set Processing Based on SVM
  Abstract

SVM has got very good results in the area of solving the classification, regression and density estimation problem in machine learning, has been successfully applied to practical problems of text recognition, speech classification, but the training time is too long is a big drawback. A new reduction strategy is proposed for training support vector machines. This method is fast in convergence without learning machine’s generalization performance, the results of simulation experiments show the feasibility and effectiveness of that method through this method.

  Info
Periodical
Edited by
Yuhang Yang, Xilong Qu, Yiping Luo and Aimin Yang
Pages
738-741
DOI
10.4028/www.scientific.net/AMR.216.738
Citation
Y. E. Chen, B. L. Ren, "Research on Large Scale Data Set Processing Based on SVM", Advanced Materials Research, Vol. 216, pp. 738-741, 2011
Online since
March 2011
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