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Ensemble of Classifiers with Modification of Confidence Values
Abstract : In the classification task, the ensemble of classifiers have attracted more and more attention in pattern recognition communities. Generally, ensemble methods have the potential to significantly improve the prediction base classifier which are included in the team. In this paper, we propose the algorithm which modifies the confidence values. This values are obtained as an outputs of the base classifiers. The experiment results based on thirteen data sets show that the proposed method is a promising method for the development of multiple classifiers systems. We compared the proposed method with other known ensemble of classifiers and with all base classifiers.
Cited literature [22 references]
https://hal.inria.fr/hal-01637486
Contributor : Hal Ifip <>
Submitted on : Friday, November 17, 2017 - 3:44:35 PM
Last modification on : Saturday, November 18, 2017 - 1:16:41 AM
Long-term archiving on: : Sunday, February 18, 2018 - 3:18:12 PM
Contributor : Hal Ifip <>
Submitted on : Friday, November 17, 2017 - 3:44:35 PM
Last modification on : Saturday, November 18, 2017 - 1:16:41 AM
Long-term archiving on: : Sunday, February 18, 2018 - 3:18:12 PM
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419526_1_En_42_Chapter.pdf
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Distributed under a Creative Commons Attribution 4.0 International License