The Research on Support Vector Machine Ensemble Based on Adaptive Fuzzy Integral Method
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.
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