BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Drupal iCal API//EN
X-WR-CALNAME:Events items teaser
X-WR-TIMEZONE:America/Toronto
BEGIN:VTIMEZONE
TZID:America/Toronto
X-LIC-LOCATION:America/Toronto
BEGIN:DAYLIGHT
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
DTSTART:20180311T070000
END:DAYLIGHT
BEGIN:STANDARD
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
DTSTART:20171105T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:68740952b5450
DTSTART;TZID=America/Toronto:20180625T160000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20180625T160000
URL:/computer-science/events/seminar-artificial-intelli
 gence-online-structure-learning
SUMMARY:Seminar • Artificial Intelligence — Online Structure Learning f
 or\nFeed-Forward and Recurrent Sum-Product Networks
CLASS:PUBLIC
DESCRIPTION:Summary \n\nABDULLAH RASHWAN\, PHD CANDIDATE\n_David R. Cherito
 n School of Computer Science_\n\nSum-product networks have recently emerge
 d as an attractive\nrepresentation due to their dual view as a special typ
 e of deep neural\nnetwork with clear semantics and a special type of proba
 bilistic\ngraphical model for which inference is always tractable. Those\n
 properties follow from some conditions (i.e.\, completeness and\ndecomposa
 bility) that must be respected by the structure of the\nnetwork. \n 
DTSTAMP:20250713T193026Z
END:VEVENT
END:VCALENDAR