Test Data Likelihood for PLSA Models

Author:

Brants Thorsten

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Information Systems

Reference14 articles.

1. Beeferman D, Berger A and Lafferty J (1999) Statistical models for text segmentation. Machine Learning 34(1?3):177?210.

2. Blei D, Ng A and Jordan M (2001) Latent dirichlet allocation. In: Proceedings of NIPS-2001, Vancouver, BC, Canada, pp. 601?608.

3. Brants T, Chen F and Tsochantaridis I (2002) Topic-based document segmentation with probabilistic latent semantic analysis. In: International Conference on Information and Knowledge Management (CIKM), McLean, VA, pp. 211?218.

4. Choi FYY, Wiemer-Hastings P and Moore J (2001) Latent semantic analysis for text segmentation. In: Lee L and Harman D, Eds., In Proceedings of the 2001 Conference on Empirical Methods in Natural Language Processing, pp. 109?117.

5. Dempster AP, Laird NM and Rubin DB (1977) Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, 39(1):1?21.

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