Adaptor grammars: A framework for specifying compositional nonparametric Bayesian models

Advances in Neural Information Processing Systems

Volumn , Issue , 2007, Pages 641-648

  Johnson, Mark ^a   Griffiths, Thomas L ^b   Goldwater, Sharon ^c  

^a BROWN UNIVERSITY   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIRICHLET PROCESS; HIERARCHICAL DIRICHLET PROCESS; INFERENCE ALGORITHM; NON-PARAMETRIC BAYESIAN; PROBABILISTIC CONTEXT FREE GRAMMARS; PROBABILISTIC MODELS; PROBABILISTIC RULES;

INFERENCE ENGINES;

BAYESIAN NETWORKS;

EID: 67349214856     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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