DagSemProc.08041.2.pdf
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08041 Summary – Recurrent Neural Networks - Models, Capacities, and Applications
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Dagstuhl Seminar Proceedings, Volume 8041
Series: Dagstuhl Seminar Proceedings (DagSemProc) - License:
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- Publication Date: 2008-04-15
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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
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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