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DOI: 10.4230/DagSemProc.09401.1
URN: urn:nbn:de:0030-drops-23636
URL: https://drops.dagstuhl.de/opus/volltexte/2010/2363/
Janzing, Dominik ; Lauritzen, Steffen ; Schölkopf, Bernhard
09401 Abstracts Collection -- Machine learning approaches to statistical dependences and causality
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Abstract
From 27.09.2009 to 02.10.2009, the Dagstuhl Seminar 09401 ``Machine learning approaches to statistical dependences and causality'' was heldin Schloss Dagstuhl~--~Leibniz Center for Informatics.
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.
BibTeX - Entry
@InProceedings{janzing_et_al:DagSemProc.09401.1,
author = {Janzing, Dominik and Lauritzen, Steffen and Sch\"{o}lkopf, Bernhard},
title = {{09401 Abstracts Collection – Machine learning approaches to statistical dependences and causality }},
booktitle = {Machine learning approaches to statistical dependences and causality},
pages = {1--15},
series = {Dagstuhl Seminar Proceedings (DagSemProc)},
ISSN = {1862-4405},
year = {2010},
volume = {9401},
editor = {Dominik Janzing and Steffen Lauritzen and Bernhard Sch\"{o}lkopf},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2010/2363},
URN = {urn:nbn:de:0030-drops-23636},
doi = {10.4230/DagSemProc.09401.1},
annote = {Keywords: Machine learning, statistical dependences, causality}
}
| Keywords: | Machine learning, statistical dependences, causality | |
| Seminar: | 09401 - Machine learning approaches to statistical dependences and causality | |
| Issue date: | 2010 | |
| Date of publication: | 04.01.2010 |
