Classification with overlapping feature intervals

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buir.advisorGüvenir, Altay
dc.contributor.authorKoç, Hakime Ünsal
dc.date.accessioned2016-01-08T20:12:53Z
dc.date.available2016-01-08T20:12:53Z
dc.date.issued1995
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionAnkara : Department of Computer Engineering and Information Science and the Institute of Engineering and Science of Bilkent University, 1995.en_US
dc.descriptionThesis (Master's) -- -Bilkent University, 1995.en_US
dc.descriptionIncludes bibliographical references leaves 83-88.en_US
dc.description.abstractThis thesis presents a new form of exemplar-based learning method, based on overlapping feature intervals. Classification with Overlapping Feature Intervals (COFI) is the particular implementation of this technique. In this incremental, inductive and supervised learning method, the basic unit of the representation is an interval. The COFI algorithm learns the projections of the intervals in each class dimension for each feature. An interval is initially a point on a class dimension, then it can be expanded through generalization. No specialization of intervals is done on class dimensions by this algorithm. Classification in the COFI algorithm is based on a majority voting among the local predictions that are made individually by each feature.en_US
dc.description.degreeM.S.en_US
dc.description.statementofresponsibilityKoç, Hakime Ünsalen_US
dc.format.extentxiii, 108 leavesen_US
dc.identifier.urihttp://hdl.handle.net/11693/17727
dc.language.isoEnglishen_US
dc.publisherBilkent Universityen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectmachine learningen_US
dc.subjectsupervised learningen_US
dc.subjectinductive learningen_US
dc.subjectincremental learningen_US
dc.subjectoverlapping feature intervalsen_US
dc.subjectconcept descriptionen_US
dc.subject.lccQ325.7 .K63 1995en_US
dc.subject.lcshComputational learning theory.en_US
dc.subject.lcshMachine learning.en_US
dc.subject.lcshExpert systems (Computer science).en_US
dc.subject.lcshInformation retrieval.en_US
dc.subject.lcshKnowledge representation (Information theory).en_US
dc.subject.lcshArtificial intelligence.en_US
dc.titleClassification with overlapping feature intervalsen_US
dc.typeThesisen_US

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