Incremental construction of rule ensembles using classifiers produced by different class orderings

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dc.authorid0000-0001-5838-4615
dc.authorid0000-0003-2225-7491
dc.contributor.authorYıldız, Olcay Taneren_US
dc.contributor.authorUlaş, Aydınen_US
dc.date.accessioned2019-03-27T21:44:58Z
dc.date.available2019-03-27T21:44:58Z
dc.date.issued2016
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Computer Engineeringen_US
dc.description.abstractIn this paper, we discuss a novel approach to incrementally construct a rule ensemble. The approach constructs an ensemble from a dynamically generated set of rule classifiers. Each classifier in this set is trained by using a different class ordering. We investigate criteria including accuracy, ensemble size, and the role of starting point in the search. Fusion is done by averaging. Using 22 data sets, floating search finds small, accurate ensembles in polynomial time.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationYıldız, O. T. & Ulaş, A. (2016). Incremental construction of rule ensembles using classifiers produced by different class orderings. Paper presented at the 2016 23rd International Conference on Pattern Recognition (ICPR), 492-497. doi:10.1109/ICPR.2016.7899682en_US
dc.identifier.doi10.1109/ICPR.2016.7899682
dc.identifier.endpage497
dc.identifier.isbn9781509048472
dc.identifier.isbn9781509048489
dc.identifier.issn1051-4651
dc.identifier.scopus2-s2.0-85019079224
dc.identifier.scopusqualityN/A
dc.identifier.startpage492
dc.identifier.urihttps://hdl.handle.net/11729/1514
dc.identifier.urihttp://dx.doi.org/10.1109/ICPR.2016.7899682
dc.identifier.wosWOS:000406771300085
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakConference Proceedings Citation Index – Science (CPCI-S)en_US
dc.institutionauthorYıldız, Olcay Taneren_US
dc.institutionauthorid0000-0001-5838-4615
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherIEEEen_US
dc.relation.ispartof2016 23rd International Conference on Pattern Recognition (ICPR)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEnsemble constructionen_US
dc.subjectRule setsen_US
dc.subjectEigenclassifiersen_US
dc.subjectCombinationen_US
dc.subjectDiversityen_US
dc.subjectSelectionen_US
dc.subjectTrainingen_US
dc.subjectOptimizationen_US
dc.subjectFeature extractionen_US
dc.subjectSearch problemsen_US
dc.subjectPattern recognitionen_US
dc.subjectComputersen_US
dc.subjectTechnological innovationen_US
dc.subjectPattern classificationen_US
dc.subjectSet theoryen_US
dc.subjectIncremental constructionen_US
dc.subjectDynamically generated seten_US
dc.subjectRule classifiersen_US
dc.subjectPolynomial timeen_US
dc.titleIncremental construction of rule ensembles using classifiers produced by different class orderingsen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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