Research on Large Scale Data Set Processing Based on SVM

Abstract:

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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.

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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 and 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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$35.00

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