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dc.contributor.authorUzun, Yasinen_US
dc.contributor.authorÇiçekli, İlyasen_US
dc.coverage.spatialAnkara, Turkey
dc.date.accessioned2016-02-08T11:40:20Z
dc.date.available2016-02-08T11:40:20Z
dc.date.issued2007-11en_US
dc.identifier.urihttp://hdl.handle.net/11693/26950
dc.descriptionDate of Conference: 7-9 Nov. 2007
dc.descriptionConference name: 22nd international symposium on computer and information sciences, 2007
dc.description.abstractLearning logical relations from examples expressed as first order facts has been studied extensively by the Inductive Logic Programming research. Learning with positive-only data may cause over generalization of examples leading to inconsistent resulting hypotheses. A learning heuristic inferring specific generalization of strings based on unique match sequences is shown to be capable of learning predicates with string arguments. This paper describes an inductive learner based on the idea of specific generalization of strings, and the given clauses are generalized by considering the background knowledge. ©2007 IEEE.en_US
dc.language.isoEnglishen_US
dc.source.title22nd International Symposium on Computer and Information Sciences, ISCIS 2007 - Proceedingsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ISCIS.2007.4456855en_US
dc.subjectCommunicationen_US
dc.subjectComputer programmingen_US
dc.subjectCyberneticsen_US
dc.subjectInformation managementen_US
dc.subjectInformation scienceen_US
dc.subjectLogic programmingen_US
dc.subjectBackground knowledge (BK)en_US
dc.subjectFirst ordersen_US
dc.subjectInductive Logic Programming (ILP)en_US
dc.subjectInternational symposiumen_US
dc.subjectLogical relationsen_US
dc.subjectEducationen_US
dc.titleInduction of logical relations based on specific generalization of stringsen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Computer Engineering
dc.citation.spage163en_US
dc.citation.epage168en_US
dc.identifier.doi10.1109/ISCIS.2007.4456855en_US
dc.publisherIEEE


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