DagSemProc.07161.1.pdf
- Filesize: 207 kB
- 21 pages
Document
07161 Abstracts Collection – Probabilistic, Logical and Relational Learning - A Further Synthesis
Authors
-
Part of:
Volume:
Dagstuhl Seminar Proceedings, Volume 7161
Series: Dagstuhl Seminar Proceedings (DagSemProc) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2008-03-07
Cite As Get BibTex
Luc De Raedt, Thomas Dietterich, Lise Getoor, Kristian Kersting, and Stephen H. Muggleton. 07161 Abstracts Collection – Probabilistic, Logical and Relational Learning - A Further Synthesis. In Probabilistic, Logical and Relational Learning - A Further Synthesis. Dagstuhl Seminar Proceedings, Volume 7161, pp. 1-21, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)
https://doi.org/10.4230/DagSemProc.07161.1
Abstract
From April 14 – 20, 2007, the Dagstuhl Seminar 07161 ``Probabilistic, Logical and Relational Learning - A Further Synthesis'' 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.
Subject Classification
Keywords
- Artificial Intelligence
- Uncertainty in AI
- Probabilistic Reasoning
- Knowledge Representation
- Logic Programming
- Relational Learning
- Inductive Logic Programming
- Graphical Models
- Statistical Relational Learning
- First-Order Logical and Relational Probabilistic Languages
Metrics
- Access Statistics
-
Total Accesses (updated on a weekly basis)
0PDF Downloads