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:20080309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
DTSTART:20071104T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:69ba58cd2af08
DTSTART;TZID=America/Toronto:20080627T113000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20080627T113000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-di
 stance-metric-learning-versus-fisher
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2306C (AI lab) Waterloo ON N2L 3G1 Canada
SUMMARY:AI seminar: Distance metric learning versus Fisher discriminant\nan
 alysis
CLASS:PUBLIC
DESCRIPTION:Speaker: Babak Alipanahi\n\nThere has been much recent attentio
 n to the problem of learning an\nappropriate distance metric\, using class
  labels or other side\ninformation. Some proposed algorithms are iterative
  and\ncomputationally expensive.
DTSTAMP:20260318T074829Z
END:VEVENT
END:VCALENDAR