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dc.contributor.authorYet, Ben_US
dc.contributor.authorMarsh, DWRen_US
dc.date.accessioned2017-03-23T11:07:01Z
dc.date.issued2014-05en_US
dc.date.submitted2017-03-20T12:02:19.514Z
dc.identifier.issn0950-7051en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/22145
dc.format.extent84 - 97en_US
dc.language.isoenen_US
dc.relation.ispartofKNOWLEDGE-BASED SYSTEMSen_US
dc.rights© 2014 Elsevier B.V.
dc.subjectBayesian networksen_US
dc.subjectKnowledge engineeringen_US
dc.subjectAbstractionen_US
dc.subjectKnowledge-based modelsen_US
dc.subjectGraphical probabilistic modelsen_US
dc.titleCompatible and incompatible abstractions in Bayesian networksen_US
dc.typeArticle
dc.identifier.doi10.1016/j.knosys.2014.02.020en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000336116900008&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.notesNo embargoen_US
pubs.notesSelection based on the SHERPA / ROMEO advice appearing opposite, though it is confusing.en_US
pubs.publication-statusPublisheden_US
pubs.volume62en_US


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