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X-WR-CALNAME:MOVING project
X-ORIGINAL-URL:https://moving-project.eu
X-WR-CALDESC:Events for MOVING project
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BEGIN:VTIMEZONE
TZID:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20170101T000000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20170925
DTEND;VALUE=DATE:20170930
DTSTAMP:20260801T025657
CREATED:20180403T104644Z
LAST-MODIFIED:20180403T105031Z
UID:1713-1506297600-1506729599@moving-project.eu
SUMMARY:WS34 Deep Learning in heterogenen Datenbeständen at Informatik 2017
DESCRIPTION:Informatik is a congress organised by members of the TUC and VSR for the German Informatics Society (GI)\, the largest informatics association in the German-speaking world. Consortium partner ZBW presented two papers at the workshop on “Deep Learning in heterogenen Datenbeständen” by evaluating the impact of word embeddings in similarity scoring in practical information retrieval and by providing a recommender system with deep learning.
URL:https://moving-project.eu/events/ws34-deep-learning-in-heterogenen-datenbestanden-at-informatik-2017/
LOCATION:Chemnitz\, Germany
END:VEVENT
END:VCALENDAR