Learning Bayesian Networks: A MAP criterion for joint selection of model structure and parameter

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2008, Pages 522-529

  Riggelsen, Carsten ^a  

^a UNIVERSITY OF POTSDAM   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN; DIRICHLET; EM ALGORITHMS; FUNCTIONAL FORMS; INCOMPLETE DATA; JOINT SELECTION; LEARNING BAYESIAN NETWORKS; MAXIMUM LIKELIHOOD CRITERIA; MAXIMUM-LIKELIHOOD METRIC; SCORING CRITERIA; SCORING METRICS; TEST DATA;

BAYESIAN NETWORKS; BLOCK CODES; DISTRIBUTED PARAMETER NETWORKS; EDUCATION; INFERENCE ENGINES; INFORMATION MANAGEMENT; INTELLIGENT NETWORKS; LEARNING ALGORITHMS; MAXIMUM LIKELIHOOD; MINING; SPEECH ANALYSIS; SPEECH RECOGNITION;

METRIC SYSTEM;

EID: 67049114703     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2008.14     Document Type: Conference Paper

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