Latent dirichlet allocation

Advances in Neural Information Processing Systems

Volumn , Issue , 2002, Pages

  Blei, David M ^a   Ng, Andrew Y ^a   Jordan, Michael T ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); INFERENCE ENGINES; MIXTURES; STATISTICS; TEXT PROCESSING;

DISCRETE DATA; GENERATIVE MODEL; LATENT DIRICHLET ALLOCATION; MIXTURE PROPORTIONS; PROBABILISTIC LATENT SEMANTIC INDEXING; TEXT CLASSIFICATION; TEXT MODELING; VARIATIONAL ALGORITHMS;

INDEXING (OF INFORMATION);

EID: 84898995847     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. D. Colm and T. Hofmaim. The missing link-A probabilistic model of document content and hypertext connectivity. In Advances in Neural Information Processing Systems 13, 2001.
2. P.J. Green and S. Richardson. Modelling heterogeneity with and without the Dirichlet process. Technical Report, University of Bristol, 1998.
3. T. Hofmann. Probabilistic latent semantic indexing. Proceedings of the Twenty-Second Annual International SIGIR Conference, 1999.
4. T. J. Jiang, J. B. Kadane, and J. M. Dickey. Computation of Carlson's multiple hypergeometric functions r for Bayesian applications. Journal of Computational and Graphical Statistics, 1:231-251, 1992.
5. M. I. Jordan, Z. Ghahramani, T. S. Jaakkola, and L. K. Saul. Introduction to variational methods for graphical models. Machine Learning, 37:183-233, 1999.
6. K. Nigam, A. Mccallum, S. Thrun, and T. Mitchell. Text classification from labeled and unlabeled documents using EM. Machine Learning, 39(2/3):103-134, 2000.
7. A. Popescul, L. H. Ungar, D. M. Pennock, and S. Lawrence. Probabilistic models for unified collaborative and content-based recommendation in sparse-data environments. In Uncertainty in Artificial Intelligence, Proceedings of the Seventeenth Conference, 2001.