DagSemProc.08041.1.pdf
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08041 Abstracts Collection – Recurrent Neural Networks - Models, Capacities, and Applications
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Dagstuhl Seminar Proceedings, Volume 8041
Series: Dagstuhl Seminar Proceedings (DagSemProc) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2008-04-15
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Luc De Raedt, Barbara Hammer, Pascal Hitzler, and Wolfgang Maass. 08041 Abstracts Collection – Recurrent Neural Networks - Models, Capacities, and Applications. In Recurrent Neural Networks- Models, Capacities, and Applications. Dagstuhl Seminar Proceedings, Volume 8041, pp. 1-16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)
https://doi.org/10.4230/DagSemProc.08041.1
https://doi.org/10.4230/DagSemProc.08041.1
Abstract
From January 20 to 25 2008, the Dagstuhl Seminar 08041 ``Recurrent Neural Networks- Models, Capacities, and Applications'' was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl.
During the seminar, several participants presented their current
research, and ongoing work and open problems were discussed. Abstracts of
the presentations given during the seminar as well as abstracts of
seminar results and ideas are put together in this paper. The first section
describes the seminar topics and goals in general.
Links to extended abstracts or full papers are provided, if available.
Keywords
- Recurrent Neural Networks
- Neural-Symbolic Integration
- Biological Models
- Hybrid Models
- Relational Learning Echo State Networks
- Spike Prediction
- Unsupervised Recurrent Networks
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