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

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

doi:10.4230/DagSemProc.08041.2

Document

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

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

Part of: Volume: Dagstuhl Seminar Proceedings, Volume 8041
Part of: Series: Dagstuhl Seminar Proceedings (DagSemProc)
License: Creative Commons Attribution 4.0 International license
Publication Date: 2008-04-15

PDF

File

PDF

DagSemProc.08041.2.pdf

Filesize: 113 kB
4 pages

Document Identifiers

DOI: 10.4230/DagSemProc.08041.2
URN: urn:nbn:de:0030-drops-14243

Subject Classification

Keywords

Recurrent networks

Metrics

Access Statistics
Total Accesses (updated on a weekly basis)

0

PDF Downloads

0

Metadata Views

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.

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

Author Details

Luc De Raedt

Barbara Hammer

Pascal Hitzler

Wolfgang Maass

Questions / Remarks / Feedback

Feedback for Dagstuhl Publishing

Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail