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DTSTART:20060402T070000
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DTSTART:20061029T060000
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DTSTART;TZID=America/Toronto:20070216T113000
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URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-le
 arning-when-training-input-and-test-data-come
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2306C (AI lab) Waterloo ON N2L 3G1 Canada
SUMMARY:AI seminar: Learning when training input and test data come from\nd
 ifferent distributions
CLASS:PUBLIC
DESCRIPTION:Speaker: Shai Ben-David\n\nCommon machine learning theory makes
  some simplifying assumptions\nabout the learning set up. A problematic su
 ch simplification is the\nassumption that the data available to the learne
 r for training is a\nfaithful representative of the data it will be later 
 tested on.
DTSTAMP:20260315T184722Z
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