A nonparametric Bayesian model of multi-level category learning

Proceedings of the National Conference on Artificial Intelligence

Volumn 1, Issue , 2011, Pages 307-312

  Canini, Kevin R ^a   Griffiths, Thomas L ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EXPLICIT INFORMATION; HIERARCHICAL DIRICHLET PROCESS; HIERARCHICAL TAXONOMY; MULTI-LEVEL; NON-PARAMETRIC BAYESIAN; NOT GIVEN; SIMULATED DATASETS; SUPERTYPE; TREE STRUCTURES;

BAYESIAN NETWORKS; PLANT EXTRACTS; TAXONOMIES; TREES (MATHEMATICS);

ARTIFICIAL INTELLIGENCE;

EID: 80055030458     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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