Memory bounded inference in topic models

Proceedings of the 25th International Conference on Machine Learning

Volumn , Issue , 2008, Pages 344-351

  Gomes, Ryan ^a   Welling, Max ^b   Perona, Pietro ^a  

^a CALIFORNIA INSTITUTE OF TECHNOLOGY   (United States)

^b Ringgold Standard Institution Informatics   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; LARGE DATASET; MACHINE LEARNING; MODEL BUILDINGS; ALGORITHMS; INFERENCE ENGINES; LEARNING SYSTEMS; ROBOT LEARNING;

BAYESIAN MODEL SELECTION; INTERNAL REPRESENTATION; MEMORY CONSTRAINTS; MODEL COMPRESSION; ORDERS OF MAGNITUDE; STATISTICAL TECHNIQUES; SUFFICIENT STATISTICS; VARIATIONAL EM ALGORITHMS;

INFERENCE ENGINES; LEARNING ALGORITHMS;

BAYESIAN MODEL SELECTIONS; DATA-SETS; E-M ALGORITHMS; INTERNAL REPRESENTATIONS; LARGE DATA SETS; MEMORY CONSTRAINTS; MODEL COMPRESSIONS; ORDERS OF MAGNITUDES; STATISTICAL TECHNIQUES; SUFFICIENT STATISTICS; SUPPORT LEARNING; TOPIC MODELS;

EID: 56449095616     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1390156.1390200     Document Type: Conference Paper

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