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VERSION:2.0
PRODID:https://github.com/derhansen/sf_event_mgt
METHOD:PUBLISH
BEGIN:VEVENT
UID:2130-409@gi.de
CLASS: PUBLIC
SUMMARY:International IFIP Cross Domain (CD) Conference for Machine Learnin
 g & Knowledge Extraction (MAKE)
DESCRIPTION:Machine learning is the workhorse of Artificial Intelligence wi
 th enormous challenges in various application domains. Successful Machine L
 earning needs a concerted international effort without boundaries, supporti
 ng collaborative and integrative cross-disciplinary research between expert
 s from seven fields.\n\nThe goal of the CD-MAKE conference is to act as an 
 innovative catalysator and to bring together researchers from the following
  seven thematic sub-areas in a cross-disciplinary manner, to stimulate fres
 h ideas and to encourage multi-disciplinary problem solving:\n\n❶ DATA – da
 ta fusion, preprocessing, mapping, knowledge representation, discovery\n\n❷
  LEARNING – algorithms, contextual adaptation, explainable-AI, causal reaso
 ning\n\n❸ VISUALIZATION – visual analytics, intelligent interfaces, human-c
 omputer interaction\n\n❹ PRIVACY – data protection, safety, security, ethic
 s, acceptance and social issues of ML\n\n❺ NETWORK – graphical models, grap
 h-based machine learning\n\n❻ TOPOLOGY – geometrical machine learning, topo
 logical and manifold learning\n\n❼ ENTROPY – time and machine learning, ent
 ropy-based ML
LOCATION:University of Kent
DTSTAMP:20190130T211902Z
DTSTART:20190826T060000Z
DTEND:20190829T160000Z
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