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CATEGORIES:Isaac Newton Institute Seminar Series
SUMMARY:A Framework to Present Bayesian Networks to Domain
Experts and Potential Users - Barbaros Yet (None
/ Other)
DTSTART;TZID=Europe/London:20160927T133000
DTEND;TZID=Europe/London:20160927T141500
UID:TALK67609AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/67609
DESCRIPTION:Knowledge and assumptions behind most Bayesi
an network models are often not clear to anyone ot
her than their developers. This limits their use a
s decision support tools in clinical and legal dom
ains where the outcomes of decisions can be critic
al. We propose a framework for representing knowle
dge supporting or conflicting with BN\, and knowle
dge associated with factors that are relevant but
excluded from the BN. The aim of this framework is
to enable domain experts and potential users to b
rowse\, review\, criticise and modify a BN model w
ithout having deep technical knowledge about BNs.<
br>
Co-authors: Zane Perkins (Queen Mary
University of London)\, Nigel Tai (The Royal Lond
on Hospital)\, William Marsh (Queen Mary Universit
y of London)
LOCATION:Seminar Room 1\, Newton Institute
CONTACT:INI IT
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