Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/66606
DC Field | Value | Language |
---|---|---|
dc.contributor | School of Nursing | en_US |
dc.creator | Deng, ZH | en_US |
dc.creator | Jiang, YZ | en_US |
dc.creator | Ishibuchi, H | en_US |
dc.creator | Choi, KS | en_US |
dc.creator | Wang, ST | en_US |
dc.date.accessioned | 2017-05-22T02:26:27Z | - |
dc.date.available | 2017-05-22T02:26:27Z | - |
dc.identifier.issn | 2157-6904 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/66606 | - |
dc.language.iso | en | en_US |
dc.publisher | Association for Computing Machinary | en_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/10.1145/2903725 | en_US |
dc.subject | Enhanced KL-TSK-FS | en_US |
dc.subject | Fuzzy systems | en_US |
dc.subject | Knowledge leverage | en_US |
dc.subject | Missing data | en_US |
dc.subject | Fuzzy modeling | en_US |
dc.subject | Transfer learning | en_US |
dc.title | Enhanced knowledge-leverage-based TSK fuzzy system modeling for inductive transfer learning | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 1 | en_US |
dc.identifier.epage | 21 | en_US |
dc.identifier.volume | 8 | en_US |
dc.identifier.issue | 1 | en_US |
dc.identifier.doi | 10.1145/2903725 | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | ACM transactions on intelligent systems and technology, Oct. 2016, v. 8, no. 1, 11, p. 1-21 | en_US |
dcterms.isPartOf | ACM transactions on intelligent systems and technology | en_US |
dcterms.issued | 2016-10 | - |
dc.identifier.isi | WOS:000385621300011 | - |
dc.identifier.ros | 2016003825 | - |
dc.identifier.eissn | 2157-6912 | en_US |
dc.identifier.artn | 11 | en_US |
dc.identifier.rosgroupid | 2016003756 | - |
dc.description.ros | 2016-2017 > Academic research: refereed > Publication in refereed journal | en_US |
dc.description.validate | 201804_a bcma | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | a0597-n11 | - |
dc.identifier.SubFormID | 450 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingText | PolyU5134/12E | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
a0597-n11_450.pdf | Pre-Published version | 1.4 MB | Adobe PDF | View/Open |
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