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TZOFFSETFROM:-0500
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DTSTART:20060402T070000
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DTSTART:20051030T060000
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UID:69b2153f71597
DTSTART;TZID=America/Toronto:20060922T113000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20060922T113000
URL:https://uwaterloo.ca/artificial-intelligence-group/events/ai-seminar-ma
 ximum-entropy-modeling-feature-reduction-text
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 2306C (AI lab) Waterloo ON N2L 3G1 Canada
SUMMARY:AI seminar: Maximum entropy modeling with feature reduction for tex
 t\ncategorization
CLASS:PUBLIC
DESCRIPTION:Speaker: Fei Song (University of Guelph)\n\nText categorization
  is the process of assigning predefined categories\nto textual documents. 
 As the exponential growth of web pages and\nonline documents continues\, t
 here is an increasing need for systems\nthat automatically classify text i
 nto proper categories.
DTSTAMP:20260312T012207Z
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