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SUMMARY:Public Colloquium Session: Concept Learning with Multiple Represent
 ations
LOCATION:
ORGANIZER;CN=SCADS:MAILTO:webmaster@puls13.com
DTSTART;TZID=Europe/Berlin:20221124T153000
DTEND;TZID=Europe/Berlin:20221124T170000
X-ALT-DESC;FMTTYPE=TEXT/HTML:We adress the problem of learning concepts in 
 description logics at large scale in a supervised setting. This form of ma
 chine learning has a plethora of advantages. First\, complex models can be
  learned from small training data sets by exploiting background knowledge.
  Moreover\, the models computed in this manner are ante-hoc explainable. I
 n this talk\,&hellip\;
CATEGORIES:Education
URL;VALUE=URI:https://scads.ai/calendar/public-colloquium-session-concept-l
 earning-with-multiple-representations/
METHOD:PUBLISH
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