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Article: Identifying a Probabilistic Boolean Threshold Network from Samples

TitleIdentifying a Probabilistic Boolean Threshold Network from Samples
Authors
Melkman, ACHENG, XChing, WKAkutsu, T
KeywordsNetwork inference
probabilistic Boolean networks (PBNs)
threshold functions
threshold networks
Issue Date2018
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=72
Citation
IEEE Transactions on Neural Networks and Learning Systems, 2018, v. 29, p. 869-881 How to Cite?
DOI: http://dx.doi.org/10.1109/TNNLS.2017.2648039
Persistent Identifierhttp://hdl.handle.net/10722/252173
ISSN
2162-237X
2023 Impact Factor: 10.2
2023 SCImago Journal Rankings: 4.170
ISI Accession Number ID
WOS:000427859600009

 

DC FieldValueLanguage
dc.contributor.authorMelkman, A-
dc.contributor.authorCHENG, X-
dc.contributor.authorChing, WK-
dc.contributor.authorAkutsu, T-
dc.date.accessioned2018-04-11T08:31:30Z-
dc.date.available2018-04-11T08:31:30Z-
dc.date.issued2018-
dc.identifier.citationIEEE Transactions on Neural Networks and Learning Systems, 2018, v. 29, p. 869-881-
dc.identifier.issn2162-237X-
dc.identifier.urihttp://hdl.handle.net/10722/252173-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=72-
dc.relation.ispartofIEEE Transactions on Neural Networks and Learning Systems-
dc.rightsIEEE Transactions on Neural Networks and Learning Systems. Copyright © IEEE.-
dc.rights©20xx 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.subjectNetwork inference-
dc.subjectprobabilistic Boolean networks (PBNs)-
dc.subjectthreshold functions-
dc.subjectthreshold networks-
dc.titleIdentifying a Probabilistic Boolean Threshold Network from Samples-
dc.typeArticle-
dc.identifier.emailChing, WK: wching@hku.hk-
dc.identifier.authorityChing, WK=rp00679-
dc.identifier.doi10.1109/TNNLS.2017.2648039-
dc.identifier.scopuseid_2-s2.0-85010661872-
dc.identifier.hkuros284601-
dc.identifier.volume29-
dc.identifier.spage869-
dc.identifier.epage881-
dc.identifier.isiWOS:000427859600009-
dc.publisher.placeUnited States-
dc.identifier.issnl2162-237X-

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