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DTSTART:20180311T070000
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DTSTART:20171105T060000
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UID:69d9104e0fd34
DTSTART;TZID=America/Toronto:20180625T160000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20180625T160000
URL:https://uwaterloo.ca/computer-science/events/seminar-artificial-intelli
 gence-online-structure-learning
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2306C (AI lab) Waterloo ON N2L 3G1 Canada
SUMMARY:Seminar • Artificial Intelligence — Online Structure Learning f
 or\nFeed-Forward and Recurrent Sum-Product Networks
CLASS:PUBLIC
DESCRIPTION:ABDULLAH RASHWAN\, PHD CANDIDATE\n_David R. Cheriton School of 
 Computer Science_\n\nSum-product networks have recently emerged as an attr
 active\nrepresentation due to their dual view as a special type of deep ne
 ural\nnetwork with clear semantics and a special type of probabilistic\ngr
 aphical model for which inference is always tractable. Those\nproperties f
 ollow from some conditions (i.e.\, completeness and\ndecomposability) that
  must be respected by the structure of the\nnetwork. 
DTSTAMP:20260410T145926Z
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