%0 Conference Proceedings
%T Ensemble of Classifiers with Modification of Confidence Values
%+ Wroclaw University of Science and Technology
%A Burduk, Robert
%A Baczyńska, Paulina
%Z Part 7: Decisions
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 15th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM)
%C Vilnius, Lithuania
%Y Khalid Saeed
%Y Władysław Homenda
%I Springer International Publishing
%3 Computer Information Systems and Industrial Management
%V LNCS-9842
%P 473-480
%8 2016-09-14
%D 2016
%R 10.1007/978-3-319-45378-1_42
%K Multiple classifier system
%K Decision profile
%K Confidence value
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X 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.
%G English
%Z TC 8
%2 https://inria.hal.science/hal-01637486/document
%2 https://inria.hal.science/hal-01637486/file/419526_1_En_42_Chapter.pdf
%L hal-01637486
%U https://inria.hal.science/hal-01637486
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-CISIM
%~ IFIP-LNCS-9842