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:20190310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
DTSTART:20181104T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:69c23420cc0f9
DTSTART;TZID=America/Toronto:20190717T140000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20190717T140000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/phd-seminar-c
 omparing-em-gd-mixture-models-two-components
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2310 Waterloo ON N2L 3G1 Canada
SUMMARY:PhD Seminar: Comparing EM with GD in Mixture Models of Two Componen
 ts
CLASS:PUBLIC
DESCRIPTION:GUOJUN ZHANG\, PHD CANDIDATE\n_David R. Cheriton School of Comp
 uter Science_\n\nThe expectation-maximization (EM) algorithm has been wide
 ly used in\nminimizing the negative log likelihood (also known as cross en
 tropy)\nof mixture models. However\, little is understood about the goodne
 ss of\nthe fixed points it converges to. 
DTSTAMP:20260324T065008Z
END:VEVENT
END:VCALENDAR