Paper Title:
The Research on Support Vector Machine Ensemble Based on Adaptive Fuzzy Integral Method
  Abstract

The existed fuzzy integral fusion methods used the prior information of training samples to determine the value of fuzzy density, which is the same to any samples and can not reflect the different importance of support vector machine to different samples. A support vector machine ensemble based on adaptive fuzzy integral is presented, the classification confidence of individual support vector machine to test sample is determined according to the measurement level information and the adaptive fuzzy density is determined according to classification confidence.

  Info
Periodical
Advanced Materials Research (Volumes 268-270)
Edited by
Feng Xiong
Pages
1096-1102
DOI
10.4028/www.scientific.net/AMR.268-270.1096
Citation
M. Y. Luo, "The Research on Support Vector Machine Ensemble Based on Adaptive Fuzzy Integral Method", Advanced Materials Research, Vols. 268-270, pp. 1096-1102, 2011
Online since
July 2011
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Price
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