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URN: urn:nbn:de:0030-drops-28027
URL: http://drops.dagstuhl.de/opus/volltexte/2010/2802/
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Hammer, Barbara ; Hitzler, Pascal ; Maass, Wolfgang ; Toussaint, Marc

10302 Summary -- Learning paradigms in dynamic environments

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Abstract

The seminar centered around problems which arise in the context of machine learning in dynamic environments. Particular emphasis was put on a couple of specific questions in this context: how to represent and abstract knowledge appropriately to shape the problem of learning in a partially unknown and complex environment and how to combine statistical inference and abstract symbolic representations; how to infer from few data and how to deal with non i.i.d. data, model revision and life-long learning; how to come up with efficient strategies to control realistic environments for which exploration is costly, the dimensionality is high and data are sparse; how to deal with very large settings; and how to apply these models in challenging application areas such as robotics, computer vision, or the web.

BibTeX - Entry

@InProceedings{hammer_et_al:DSP:2010:2802,
  author =	{Barbara Hammer and Pascal Hitzler and Wolfgang Maass and Marc Toussaint},
  title =	{10302 Summary -- Learning paradigms in dynamic environments},
  booktitle =	{Learning paradigms in dynamic environments},
  year =	{2010},
  editor =	{Barbara Hammer and Pascal Hitzler and Wolfgang Maass and Marc Toussaint},
  number =	{10302},
  series =	{Dagstuhl Seminar Proceedings},
  ISSN =	{1862-4405},
  publisher =	{Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2010/2802},
  annote =	{Keywords: Summary}
}

Keywords: Summary
Seminar: 10302 - Learning paradigms in dynamic environments
Issue Date: 2010
Date of publication: 05.11.2010


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