Exploiting causal independence in Markov logic networks: Combining undirected and directed models

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6322 LNAI, Issue PART 2, 2010, Pages 434-450

  Natarajan, Sriraam ^a   Khot, Tushar ^a   Lowd, Daniel ^b   Tadepalli, Prasad ^c   Kersting, Kristian ^d   Shavlik, Jude ^a  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b UNIVERSITY OF OREGON   (United States)

^c OREGON STATE UNIVERSITY   (United States)

^d FRAUNHOFER IAIS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

CAUSAL INDEPENDENCE; EXPERIMENTAL EVALUATION; JOINT PROBABILITY; LOGICAL FORMULAS; MARKOV LOGIC NETWORKS; PARAMETER LEARNING;

LEARNING SYSTEMS;

FACTORIZATION;

EID: 78049412317     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15883-4_28     Document Type: Conference Paper

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