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Conference Paper: Nonparametric Functional Approximation with Delaunay Triangulation Learner

TitleNonparametric Functional Approximation with Delaunay Triangulation Learner
Authors
KeywordsConvex optimizations
Curvature regularization
Nonparametric regression
Piecewise linear
Prediction
Issue Date2019
PublisherIEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome/1821544/all-proceedings
Citation
Proceedings of 2019 IEEE International Conference on Big Knowledge (ICBK), Beijing, China, 10-11 November 2019, p. 167-174 How to Cite?
AbstractThe following topics are dealt with: learning (artificial intelligence); data mining; pattern clustering; data analysis; graph theory; pattern classification; natural language processing; data handling; query processing; trees (mathematics).
Persistent Identifierhttp://hdl.handle.net/10722/294868
ISBN
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLiu, Y-
dc.contributor.authorYin, G-
dc.date.accessioned2020-12-21T11:49:41Z-
dc.date.available2020-12-21T11:49:41Z-
dc.date.issued2019-
dc.identifier.citationProceedings of 2019 IEEE International Conference on Big Knowledge (ICBK), Beijing, China, 10-11 November 2019, p. 167-174-
dc.identifier.isbn9781728146089-
dc.identifier.urihttp://hdl.handle.net/10722/294868-
dc.description.abstractThe following topics are dealt with: learning (artificial intelligence); data mining; pattern clustering; data analysis; graph theory; pattern classification; natural language processing; data handling; query processing; trees (mathematics).-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome/1821544/all-proceedings-
dc.relation.ispartofIEEE International Conference on Big Knowledge (ICBK)-
dc.rightsIEEE International Conference on Big Knowledge (ICBK). Copyright © IEEE.-
dc.rights©2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectConvex optimizations-
dc.subjectCurvature regularization-
dc.subjectNonparametric regression-
dc.subjectPiecewise linear-
dc.subjectPrediction-
dc.titleNonparametric Functional Approximation with Delaunay Triangulation Learner-
dc.typeConference_Paper-
dc.identifier.emailYin, G: gyin@hku.hk-
dc.identifier.authorityYin, G=rp00831-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/ICBK.2019.00030-
dc.identifier.scopuseid_2-s2.0-85078195420-
dc.identifier.hkuros320602-
dc.identifier.spage167-
dc.identifier.epage174-
dc.identifier.isiWOS:000529370400021-
dc.publisher.placeUnited States-

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