DagSemProc.05051.1.pdf
- Filesize: 241 kB
- 27 pages
Document
05051 Abstracts Collection – Probabilistic, Logical and Relational Learning - Towards a Synthesis
Authors
-
Part of:
Volume:
Dagstuhl Seminar Proceedings, Volume 5051
Series: Dagstuhl Seminar Proceedings (DagSemProc) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2006-02-09
Cite AsGet BibTex
Luc De Raedt, Tom Dietterich, Lise Getoor, and Stephen H. Muggleton. 05051 Abstracts Collection – Probabilistic, Logical and Relational Learning - Towards a Synthesis. In Probabilistic, Logical and Relational Learning - Towards a Synthesis. Dagstuhl Seminar Proceedings, Volume 5051, pp. 1-27, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)
https://doi.org/10.4230/DagSemProc.05051.1
https://doi.org/10.4230/DagSemProc.05051.1
Abstract
From 30.01.05 to 04.02.05, the Dagstuhl Seminar 05051 ``Probabilistic, Logical and Relational Learning - Towards a 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.
Keywords
- Statistical relational learning
- probabilistic logic learning
- inductive logic programming
- knowledge representation
- machine learning
- uncertainty in artificial intelligence
Metrics
- Access Statistics
-
Total Accesses (updated on a weekly basis)
0PDF Downloads