Soft decision trees

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dc.authorid0000-0001-5838-4615
dc.authorid0000-0001-7506-0321
dc.contributor.authorİrsoy, Ozanen_US
dc.contributor.authorYıldız, Olcay Taneren_US
dc.contributor.authorAlpaydın, Ahmet İbrahim Ethemen_US
dc.date.accessioned2019-06-28T12:41:13Z
dc.date.available2019-06-28T12:41:13Z
dc.date.issued2012
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Computer Engineeringen_US
dc.description.abstractWe discuss a novel decision tree architecture with soft decisions at the internal nodes where we choose both children with probabilities given by a sigmoid gating function. Our algorithm is incremental where new nodes are added when needed and parameters are learned using gradient-descent. We visualize the soft tree fit on a toy data set and then compare it with the canonical, hard decision tree over ten regression and classification data sets. Our proposed model has significantly higher accuracy using fewer nodes.en_US
dc.description.sponsorshipThis work is supported by TUBITAK 109E186 and Bogazici University Scientific Research Project BAP5701.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationİrsoy, O., Yıldız, O. T. & Alpaydın, A. İ. E. (2012). Soft decision trees. Paper presented at the International Conference on Pattern Recognition, 1819-1822.en_US
dc.identifier.endpage1822
dc.identifier.isbn9784990644109
dc.identifier.isbn9781467322164
dc.identifier.issn1051-4651
dc.identifier.scopusquality2-s2.0-84874569105
dc.identifier.scopusqualityN/A
dc.identifier.startpage1819
dc.identifier.urihttps://hdl.handle.net/11729/1649
dc.identifier.wosWOS:000343660601224
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.ispartofInternational Conference on Pattern Recognitionen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectRegression tree analysisen_US
dc.subjectAccuracyen_US
dc.subjectTrainingen_US
dc.subjectPattern recognitionen_US
dc.subjectEducational institutionsen_US
dc.subjectInterpolationen_US
dc.subjectData visualisationen_US
dc.subjectDecision treesen_US
dc.subjectGradient methodsen_US
dc.subjectPattern classificationen_US
dc.subjectProbabilityen_US
dc.subjectRegression analysisen_US
dc.subjectSoft decision tree architectureen_US
dc.subjectInternal nodesen_US
dc.subjectProbabilitiesen_US
dc.subjectSigmoid gating functionen_US
dc.subjectIncremental algorithmen_US
dc.subjectGradient-descent algorithmen_US
dc.subjectToy data seten_US
dc.subjectRegression data setsen_US
dc.subjectClassification data setsen_US
dc.subjectClassification (of information)en_US
dc.subjectData miningen_US
dc.subjectGating functionsen_US
dc.subjectGradient-descenten_US
dc.subjectHard decisionsen_US
dc.subjectSoft decisionen_US
dc.subjectToy dataen_US
dc.subjectTree architecturesen_US
dc.titleSoft decision treesen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

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