Learning Mixtures of Distributions over Large Discrete Domains

Author Yuval Rabani



PDF
Thumbnail PDF

File

LIPIcs.FSTTCS.2012.1.pdf
  • Filesize: 275 kB
  • 3 pages

Document Identifiers

Author Details

Yuval Rabani

Cite AsGet BibTex

Yuval Rabani. Learning Mixtures of Distributions over Large Discrete Domains. In IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2012). Leibniz International Proceedings in Informatics (LIPIcs), Volume 18, pp. 1-3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2012)
https://doi.org/10.4230/LIPIcs.FSTTCS.2012.1

Abstract

We discuss recent results giving algorithms for learning mixtures of unstructured distributions.
Keywords
  • machine learning
  • mixture models
  • topic models

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail