Basit öğe kaydını göster

dc.contributor.authorErdem, Hamit
dc.contributor.authorOzgur, Atilla
dc.contributor.authorNar, Fatih
dc.date.accessioned2019-04-18T12:07:53Z
dc.date.available2019-04-18T12:07:53Z
dc.date.issued2018
dc.identifier.issn1875-6891
dc.identifier.urihttps://www.atlantis-press.com/journals/ijcis/25894608
dc.identifier.urihttp://hdl.handle.net/11727/3072
dc.description.abstractIn this study, a novel sparsity-driven weighted ensemble classifier (SDWEC) that improves classification accuracy and minimizes the number of classifiers is proposed. Using pre-trained classifiers, an ensemble in which base classifiers votes according to assigned weights is formed. These assigned weights directly affect classifier accuracy. In the proposed method, ensemble weights finding problem is modeled as a cost function with the following terms: (a) a data fidelity term aiming to decrease misclassification rate, (b) a sparsity term aiming to decrease the number of classifiers, and (c) a non-negativity constraint on the weights of the classifiers. As the proposed cost function is non-convex thus hard to solve, convex relaxation techniques and novel approximations are employed to obtain a numerically efficient solution. Sparsity term of cost function allows trade-off between accuracy and testing time when needed. The efficiency of SDWEC was tested on 11 datasets and compared with the state-of-the art classifier ensemble methods. The results show that SDWEC provides better or similar accuracy levels using fewer classifiers and reduces testing time for ensemble.en_US
dc.language.isoengen_US
dc.relation.isversionof10.2991/ijcis.11.1.73en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMachine Learningen_US
dc.subjectEnsembleen_US
dc.subjectConvex Relaxationen_US
dc.subjectClassificationen_US
dc.subjectClassifier Ensemblesen_US
dc.titleSparsity-driven weighted ensemble classifieren_US
dc.typearticleen_US
dc.relation.journalINTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMSen_US
dc.identifier.volume11en_US
dc.identifier.issue1en_US
dc.identifier.startpage962en_US
dc.identifier.endpage978en_US
dc.identifier.wos000454694400007en_US
dc.identifier.scopus2-s2.0-85062728202en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergien_US


Bu öğenin dosyaları:

Thumbnail

Bu öğe aşağıdaki koleksiyon(lar)da görünmektedir.

Basit öğe kaydını göster