A novel algorithm for scalable and accurate Bayesian network learning

Studies in Health Technology and Informatics

Volumn 107, Issue , 2004, Pages 711-715

  Brown, Laura E ^a   Tsamardinos, Ioannis ^a   Aliferis, Constantin F ^a  

^a VANDERBILT UNIVERSITY   (United States)

Author keywords

Algorithms; Artificial Intelligence; Bayesian Analysis; Bayesian Networks; Causal Discovery; Expert Systems

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DECISION SUPPORT SYSTEMS; EXPERT SYSTEMS; KNOWLEDGE REPRESENTATION; BARIUM COMPOUNDS; MEDICAL INFORMATICS;

BAYESIAN ANALYSIS; BAYESIAN NETWORK LEARNING; CAUSAL DISCOVERY; HILL CLIMBING; KNOWLEDGE REPRESENTATION FORMALISM; NETWORK CONNECTIVITY; NOVEL ALGORITHM; STATE-OF-THE-ART ALGORITHMS; 'CURRENT; BAYESIA N NETWORKS; LEARN+; MAX/MIN;

BAYESIAN NETWORKS;

ALGORITHM; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BAYESIAN NETWORK; CLIMBING; CONFERENCE PAPER; EXPERT SYSTEM; LEARNING; SCALE UP;

EID: 84887065692     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-60750-949-3-711     Document Type: Article

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