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A comparative study of statistical ensemble methods on mismatch conditions

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2 Author(s)
Dingsheng Luo ; Nat. Lab. on Machine Perception, Peking Univ., Beijing, China ; Chen, Ke

Unlike previous comparative studies, we present an empirical evaluation on three typical statistical ensemble methods - boosting, bagging and combination of weak perceptrons - in terms of speaker identification where miscellaneous mismatch conditions are involved. During creating an ensemble, moreover, different combination strategies are also investigated. As a result, our studies present their generalization capabilities on mismatch conditions, which provides an alternative insight to understand those methods

Published in:
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on  (Volume:1 )

Date of Conference: 2002

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