Parallelized variational EM for Latent Dirichlet Allocation: An experimental evaluation of speed and scalability

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2007, Pages 349-354

  Nallapati, Ramesh ^a   Cohen, William ^a   Lafferty, John ^a  

^a Carnegie Mellon University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; DATA MINING; DECISION SUPPORT SYSTEMS; INFORMATION MANAGEMENT; MINING; SCALABILITY; SEARCH ENGINES; SPEED; WORD PROCESSING;

DOCUMENT COLLECTIONS; E-M ALGORITHMS; ELECTRONIC DOCUMENTS; EXPERIMENTAL EVALUATIONS; INTERNATIONAL CONFERENCES; LATENT DIRICHLET ALLOCATION; MULTI-PROCESSOR ARCHITECTURES; PARALLEL IMPLEMENTATIONS; SPEED-UPS; VARIATIONAL EM;

PARALLEL ALGORITHMS;

EID: 49549096867     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2007.33     Document Type: Conference Paper

References (2)

1. D. Blei, A. Ng, and M. Jordan. Latent dirichlet allocation. Journal of Machine Learning Research, 3, 2003.
2. T. Griffiths and M. Steyvers. Finding scientific topics. Proceedings of the National Academy of Sciences, 2004.