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dc.contributor.authorKaplan, L.
dc.contributor.authorŞensoy, Murat
dc.date.accessioned2020-04-20T08:05:31Z
dc.date.available2020-04-20T08:05:31Z
dc.date.issued2018-09-05
dc.identifier.isbn978-0-9964-5276-2
dc.identifier.urihttp://hdl.handle.net/10679/6522
dc.identifier.urihttps://ieeexplore.ieee.org/document/8455400
dc.description.abstractThis work analyzes the impact of correlated propositions when estimating the reporting behavior of information sources. These behavior estimates are critical for fusion, and traditional methods assume the propositions are statistically independent. A new source behavior estimation methods is presented that accounts for statistical dependencies between the training propositions. Simulations seem to indicate that the potential performance gains for accounting for the correlations is small relative to the increased computational complexity. One may conclude that the traditional independence assumption in source behavior estimation methods is reasonable even in cases where it is actually violated.en_US
dc.description.sponsorshipUnited States Department of Defense US Army Research Laboratory (ARL) ; U.K. Ministry of Defence
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartof2018 21st International Conference on Information Fusion (FUSION)
dc.rightsrestrictedAccess
dc.titleTrust estimation of sources over correlated propositionsen_US
dc.typeConference paperen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0001-8806-4508 & YÖK ID 41438) Şensoy, Murat
dc.contributor.ozuauthorŞensoy, Murat
dc.identifier.startpage414en_US
dc.identifier.endpage421en_US
dc.identifier.wosWOS:000495071900056
dc.identifier.doi10.23919/ICIF.2018.8455400en_US
dc.subject.keywordsEstimationen_US
dc.subject.keywordsUncertaintyen_US
dc.subject.keywordsProbabilistic logicen_US
dc.subject.keywordsCorrelationen_US
dc.subject.keywordsGovernmenten_US
dc.subject.keywordsHistoryen_US
dc.subject.keywordsFusesen_US
dc.identifier.scopusSCOPUS:2-s2.0-85054055603
dc.contributor.authorMale1
dc.relation.publicationcategoryConference Paper - International - Institutional Academic Staff


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