05051 Abstracts Collection – Probabilistic, Logical and Relational Learning - Towards a Synthesis

De Raedt, Luc; Dietterich, Tom; Getoor, Lise; Muggleton, Stephen H.

doi:10.4230/DagSemProc.05051.1

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05051 Abstracts Collection – Probabilistic, Logical and Relational Learning - Towards a Synthesis

Authors Luc De Raedt, Tom Dietterich, Lise Getoor, Stephen H. Muggleton

Part of: Volume: Dagstuhl Seminar Proceedings, Volume 5051
Part of: Series: Dagstuhl Seminar Proceedings (DagSemProc)
License: Creative Commons Attribution 4.0 International license
Publication Date: 2006-02-09

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DagSemProc.05051.1.pdf

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Document Identifiers

DOI: 10.4230/DagSemProc.05051.1
URN: urn:nbn:de:0030-drops-4303

Subject Classification

Keywords

Statistical relational learning
probabilistic logic learning
inductive logic programming
knowledge representation
machine learning
uncertainty in artificial intelligence

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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.

Cite As Get 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

Author Details

Luc De Raedt

Tom Dietterich

Lise Getoor

Stephen H. Muggleton

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