BibTeX Export for 09401 Abstracts Collection – Machine learning approaches to statistical dependences and causality

Copy to Clipboard Download

@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/entities/document/10.4230/DagSemProc.09401.1},
  URN =		{urn:nbn:de:0030-drops-23636},
  doi =		{10.4230/DagSemProc.09401.1},
  annote =	{Keywords: Machine learning, statistical dependences, causality}
}

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