Robust estimation for mixture of probability tables based on β-likelihood

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Modeling of a large joint probability table is problematic when its variables have a large number of categories. In such a case, a mixture of simpler probability tables could be a good model. And the estimation of such a large probability table frequently has another problem of data sparseness. When constructing mixture models with sparse data, EM estimators based on the β-likelihood are expected more appropriate than those based on the log likelihood. Experimental results show that a mixture model estimated by the βlikelihood approximates a large joint probability table with sparse data more appropriately than EM estimators.

Original languageEnglish
Title of host publicationProceedings of the Sixth SIAM International Conference on Data Mining
Pages519-523
Number of pages5
Volume2006
Publication statusPublished - 2006
EventSixth SIAM International Conference on Data Mining - Bethesda, MD
Duration: 2006 Apr 202006 Apr 22

Other

OtherSixth SIAM International Conference on Data Mining
CityBethesda, MD
Period06/4/2006/4/22

Keywords

  • β-likelihood
  • EM estimation
  • Mixture model
  • Robustness
  • Sparse data

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Fujimoto, Y., & Murata, N. (2006). Robust estimation for mixture of probability tables based on β-likelihood. In Proceedings of the Sixth SIAM International Conference on Data Mining (Vol. 2006, pp. 519-523)

Robust estimation for mixture of probability tables based on β-likelihood. / Fujimoto, Yu; Murata, Noboru.

Proceedings of the Sixth SIAM International Conference on Data Mining. Vol. 2006 2006. p. 519-523.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fujimoto, Y & Murata, N 2006, Robust estimation for mixture of probability tables based on β-likelihood. in Proceedings of the Sixth SIAM International Conference on Data Mining. vol. 2006, pp. 519-523, Sixth SIAM International Conference on Data Mining, Bethesda, MD, 06/4/20.
Fujimoto Y, Murata N. Robust estimation for mixture of probability tables based on β-likelihood. In Proceedings of the Sixth SIAM International Conference on Data Mining. Vol. 2006. 2006. p. 519-523
Fujimoto, Yu ; Murata, Noboru. / Robust estimation for mixture of probability tables based on β-likelihood. Proceedings of the Sixth SIAM International Conference on Data Mining. Vol. 2006 2006. pp. 519-523
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