DagSemProc.08041.2.pdf
- Filesize: 113 kB
- 4 pages
Document
08041 Summary – Recurrent Neural Networks - Models, Capacities, and Applications
Authors
-
Part of:
Volume:
Dagstuhl Seminar Proceedings, Volume 8041
Series: Dagstuhl Seminar Proceedings (DagSemProc) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2008-04-15
Cite As Get BibTex
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.
Subject Classification
Keywords
- Recurrent networks
Metrics
- Access Statistics
-
Total Accesses (updated on a weekly basis)
0PDF Downloads