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DTSTART:20180311T070000
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DTSTART;TZID=America/Toronto:20180625T160000
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URL:https://uwaterloo.ca/artificial-intelligence-group/events/phd-seminar-o
 nline-structure-learning-feed-forward-and
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2306C Waterloo ON N2L 3G1 Canada
SUMMARY:PhD Seminar: Online Structure Learning for Feed-Forward and Recurre
 nt\nSum-Product Networks
CLASS:PUBLIC
DESCRIPTION:Abdullah Rashwan\, PhD candidate\n\nSum-product networks have r
 ecently emerged as an attractive\nrepresentation due to their dual view as
  a special type of deep neural\nnetwork with clear semantics and a special
  type of probabilistic\ngraphical model for which inference is always trac
 table. Those\nproperties follow from some conditions (i.e.\, completeness 
 and\ndecomposability) that must be respected by the structure of the\nnetw
 ork. 
DTSTAMP:20260324T064741Z
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