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Published in:
2012 | OriginalPaper | Chapter
SVM Ensemble Based on Boosting and KFCM
Authors : Chen Tao, Hong Zeng-lin
Published in: Software Engineering and Knowledge Engineering: Theory and Practice
Publisher: Springer Berlin Heidelberg
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SVM ensemble algorithm based on Boosting and KFCM is proposed to improve the generalization ability. First, boosting algorithm was used to get some svm individuals. And then best individuals were selected based on KFCM using generalization error of svm in the validate set, and selected best svms were ensembled using averaging. The experiments show that the algorithm have higher generalization performance and lower time and space complexity, it is a higher effect ensemble algorithm.