Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/66606
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dc.contributorSchool of Nursingen_US
dc.creatorDeng, ZHen_US
dc.creatorJiang, YZen_US
dc.creatorIshibuchi, Hen_US
dc.creatorChoi, KSen_US
dc.creatorWang, STen_US
dc.date.accessioned2017-05-22T02:26:27Z-
dc.date.available2017-05-22T02:26:27Z-
dc.identifier.issn2157-6904en_US
dc.identifier.urihttp://hdl.handle.net/10397/66606-
dc.language.isoenen_US
dc.publisherAssociation for Computing Machinaryen_US
dc.rights© ACM 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Deng, Z., Jiang, Y., Ishibuchi, H., Choi, K. S., & Wang, S. (2016). Enhanced knowledge-leverage-based TSK fuzzy system modeling for inductive transfer learning. ACM Transactions on Intelligent Systems and Technology 8(1), 11, 1-21, http://dx.doi.org/10.1145/2903725en_US
dc.subjectEnhanced KL-TSK-FSen_US
dc.subjectFuzzy systemsen_US
dc.subjectKnowledge leverageen_US
dc.subjectMissing dataen_US
dc.subjectFuzzy modelingen_US
dc.subjectTransfer learningen_US
dc.titleEnhanced knowledge-leverage-based TSK fuzzy system modeling for inductive transfer learningen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1en_US
dc.identifier.epage21en_US
dc.identifier.volume8en_US
dc.identifier.issue1en_US
dc.identifier.doi10.1145/2903725en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationACM transactions on intelligent systems and technology, Oct. 2016, v. 8, no. 1, 11, p. 1-21en_US
dcterms.isPartOfACM transactions on intelligent systems and technologyen_US
dcterms.issued2016-10-
dc.identifier.isiWOS:000385621300011-
dc.identifier.ros2016003825-
dc.identifier.eissn2157-6912en_US
dc.identifier.artn11en_US
dc.identifier.rosgroupid2016003756-
dc.description.ros2016-2017 > Academic research: refereed > Publication in refereed journalen_US
dc.description.validate201804_a bcmaen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera0597-n11-
dc.identifier.SubFormID450-
dc.description.fundingSourceRGCen_US
dc.description.fundingTextPolyU5134/12Een_US
dc.description.pubStatusPublisheden_US
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