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DOI: 10.4230/LIPIcs.FSTTCS.2012.1
URN: urn:nbn:de:0030-drops-38428
URL: https://drops.dagstuhl.de/opus/volltexte/2012/3842/
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 | |
| Seminar: | IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2012) | |
| Issue date: | 2012 | |
| Date of publication: | 14.12.2012 |
