@InProceedings{deraedt_et_al:DagSemProc.05051.2, author = {De Raedt, Luc and Dietterich, Tom and Getoor, Lise and Muggleton, Stephen H.}, title = {{05051 Executive Summary – Probabilistic, Logical and Relational Learning - Towards a Synthesis}}, booktitle = {Probabilistic, Logical and Relational Learning - Towards a Synthesis}, pages = {1--5}, series = {Dagstuhl Seminar Proceedings (DagSemProc)}, ISSN = {1862-4405}, year = {2006}, volume = {5051}, editor = {Luc De Raedt and Thomas Dietterich and Lise Getoor and Stephen H. Muggleton}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05051.2}, URN = {urn:nbn:de:0030-drops-4121}, doi = {10.4230/DagSemProc.05051.2}, annote = {Keywords: Reasoning about Uncertainty, Relational and Logical Represenations, Statistical Relational Learning, Inductive Lgoic Programmign} }
The metadata provided by Dagstuhl Publishing on its webpages, as well as their export formats (such as XML or BibTeX) available at our website, is released under the CC0 1.0 Public Domain Dedication license. That is, you are free to copy, distribute, use, modify, transform, build upon, and produce derived works from our data, even for commercial purposes, all without asking permission. Of course, we are always happy if you provide a link to us as the source of the data.
Read the full CC0 1.0 legal code for the exact terms that apply: https://creativecommons.org/publicdomain/zero/1.0/legalcode
Feedback for Dagstuhl Publishing