Hierarchical topic models and the nested Chinese restaurant process

Advances in Neural Information Processing Systems

Volumn , Issue , 2004, Pages

  Blei, David M ^a   Griffiths, Thomas L ^a   Jordan, Michael I ^b   Tenenbaum, Joshua B ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

STATISTICS;

BAYESIAN APPROACHES; BRANCHING FACTORS; DATA COLLECTION; HIERARCHICAL TOPIC MODELS; LATENT DIRICHLET ALLOCATION; MODEL SELECTION PROBLEM; NON-PARAMETRIC; TOPIC HIERARCHY;

BAYESIAN NETWORKS;

EID: 8644225400     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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