License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.FSTTCS.2012.1
URN: urn:nbn:de:0030-drops-38428
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2012/3842/
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Rabani, Yuval

Learning Mixtures of Distributions over Large Discrete Domains

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Abstract

We discuss recent results giving algorithms for learning mixtures of unstructured distributions.

BibTeX - Entry

@InProceedings{rabani:LIPIcs:2012:3842,
  author =	{Yuval Rabani},
  title =	{{Learning Mixtures of Distributions over Large Discrete Domains}},
  booktitle =	{IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2012) },
  pages =	{1--3},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-939897-47-7},
  ISSN =	{1868-8969},
  year =	{2012},
  volume =	{18},
  editor =	{Deepak D'Souza and Telikepalli Kavitha and Jaikumar Radhakrishnan},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2012/3842},
  URN =		{urn:nbn:de:0030-drops-38428},
  doi =		{10.4230/LIPIcs.FSTTCS.2012.1},
  annote =	{Keywords: machine learning, mixture models, topic models}
}

Keywords: machine learning, mixture models, topic models
Collection: IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2012)
Issue Date: 2012
Date of publication: 14.12.2012

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