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SUMMARY:A Framework to Present Bayesian Networks to Domain Experts and Pot
 ential Users - Barbaros Yet (None / Other)
DTSTART:20160927T123000Z
DTEND:20160927T131500Z
UID:TALK67609@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:<span>Knowledge and assumptions behind most Bayesian network m
 odels are often not clear to anyone other than their developers. This limi
 ts their use as decision support tools in clinical and legal domains where
  the outcomes of decisions can be critical. We propose a framework for rep
 resenting knowledge supporting or conflicting with BN\, and knowledge asso
 ciated with factors that are relevant but excluded from the BN. The aim of
  this framework is to enable domain experts and potential users to browse\
 , review\, criticise and modify a BN model without having deep technical k
 nowledge about BNs.<br><br></span>Co-authors: Zane Perkins (Queen Mary Uni
 versity of London)\, Nigel Tai (The Royal London Hospital)\, William Marsh
  (Queen Mary University of London)<span><br><br></span>
LOCATION:Seminar Room 1\, Newton Institute
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