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08041 Summary – Recurrent Neural Networks - Models, Capacities, and Applications

Authors Luc De Raedt, Barbara Hammer, Pascal Hitzler, Wolfgang Maass



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Luc De Raedt
Barbara Hammer
Pascal Hitzler
Wolfgang Maass

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Luc De Raedt, Barbara Hammer, Pascal Hitzler, and Wolfgang Maass. 08041 Summary – Recurrent Neural Networks - Models, Capacities, and Applications. In Recurrent Neural Networks- Models, Capacities, and Applications. Dagstuhl Seminar Proceedings, Volume 8041, pp. 1-4, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2008)
https://doi.org/10.4230/DagSemProc.08041.2

Abstract

The seminar centered around recurrent information processing in neural systems and its connections to brain sciences, on the one hand, and higher symbolic reasoning, on the other side. The goal was to explore connections across the disciplines and to tackle important questions which arise in all sub-disciplines such as representation of temporal information, generalization ability, inference, and learning.
Keywords
  • Recurrent networks

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