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TZID:America/Chicago
BEGIN:DAYLIGHT
DTSTART:20190310T030000
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
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TZNAME:CDT
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DTSTART:20191103T010000
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20260614T013252
UID:140930@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20190916T123000
DTEND;TZID=America/Chicago:20190916T133000
DESCRIPTION:Marina Meila\, Professor\, University of Washington. Machine le
 arning is many times faster than humans at finding patterns\, yet the task
  of validating these as ``meaningful'' is still left to the human expert o
 r to further experiment. In this talk I will present three instances in wh
 ich unsupervised learning tasks can be augmented with data driven validati
 on.
LOCATION:1240 Computer Sciences
SUMMARY:Unsupervised Validation for Unsupervised Learning
END:VEVENT
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