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Article: Re-Revisiting Learning on Hypergraphs: Confidence Interval, Subgradient Method, and Extension to Multiclass

TitleRe-Revisiting Learning on Hypergraphs: Confidence Interval, Subgradient Method, and Extension to Multiclass
Authors
Issue Date2020
Citation
IEEE Transactions on Knowledge and Data Engineering, 2020, v. 32, p. 506-518 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/319791
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZHANG, C-
dc.contributor.authorHU, S-
dc.contributor.authorTANG, Z-
dc.contributor.authorChan, HTH-
dc.date.accessioned2022-10-14T05:19:49Z-
dc.date.available2022-10-14T05:19:49Z-
dc.date.issued2020-
dc.identifier.citationIEEE Transactions on Knowledge and Data Engineering, 2020, v. 32, p. 506-518-
dc.identifier.urihttp://hdl.handle.net/10722/319791-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Knowledge and Data Engineering-
dc.titleRe-Revisiting Learning on Hypergraphs: Confidence Interval, Subgradient Method, and Extension to Multiclass-
dc.typeArticle-
dc.identifier.emailChan, HTH: hubert@cs.hku.hk-
dc.identifier.authorityChan, HTH=rp01312-
dc.identifier.doi10.1109/TKDE.2018.2880448-
dc.identifier.hkuros339389-
dc.identifier.volume32-
dc.identifier.spage506-
dc.identifier.epage518-
dc.identifier.isiWOS:000526526700007-

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