Detailed Information

Cited 12 time in webofscience Cited 12 time in scopus
Metadata Downloads

Multi-Label Learning Using Mathematical Programming

Full metadata record
DC Field Value Language
dc.contributor.authorLim, Hyunki-
dc.contributor.authorLee, Jaesung-
dc.contributor.authorKim, Dae-Won-
dc.date.available2019-03-08T18:02:16Z-
dc.date.issued2015-01-
dc.identifier.issn1745-1361-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/10065-
dc.description.abstractWe propose a new multi-label feature selection method that does not require the multi-label problem to be transformed into a single-label problem. Using quadratic programming, the proposed multi-label feature selection algorithm provides markedly better learning performance than conventional methods.-
dc.format.extent4-
dc.language영어-
dc.language.isoENG-
dc.publisherThe Institute of Electronics, Information and Communication Engineers-
dc.titleMulti-Label Learning Using Mathematical Programming-
dc.typeArticle-
dc.identifier.doi10.1587/transinf.2014EDL8139-
dc.identifier.bibliographicCitationIeice Transactions on Information and Systems, v.E98D, no.1, pp 197 - 200-
dc.description.isOpenAccessN-
dc.identifier.wosid000356588700015-
dc.identifier.scopusid2-s2.0-84920510651-
dc.citation.endPage200-
dc.citation.number1-
dc.citation.startPage197-
dc.citation.titleIeice Transactions on Information and Systems-
dc.citation.volumeE98D-
dc.type.docTypeArticle-
dc.publisher.location일본-
dc.subject.keywordAuthormulti-label learning-
dc.subject.keywordAuthorfeature selection-
dc.subject.keywordAuthorquadratic programming-
dc.subject.keywordPlusFEATURE-SELECTION-
dc.subject.keywordPlusCLASSIFICATION-
dc.subject.keywordPlusINFORMATION-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Software Engineering-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Software > School of Computer Science and Engineering > 1. Journal Articles
College of Software > Department of Artificial Intelligence > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Dae-Won photo

Kim, Dae-Won
소프트웨어대학 (소프트웨어학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE