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DTSTART:20060402T070000
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DTSTART;TZID=America/Toronto:20060623T113000
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URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-pe
 rforming-incremental-bayesian-inference-dynamic
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2306C (AI lab) Waterloo ON N2L 3G1 Canada
SUMMARY:AI seminar: Performing incremental Bayesian inference by dynamic mo
 del\ncounting
CLASS:PUBLIC
DESCRIPTION:Speaker: Wei Li\n\nThe ability to update the structure of a Bay
 esian network when new\ndata becomes available is crucial for building ada
 ptive systems.\nRecent work demonstrates that the well-known Davis-Putnam 
 procedure\ncombined with a dynamic decomposition and caching technique is 
 an\neffective method for exact inference in Bayesian networks with high\nd
 ensity and width.
DTSTAMP:20260324T064233Z
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