Template based inference in symmetric relational Markov random fields

Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence, UAI 2007

Volumn , Issue , 2007, Pages 191-199

  Jaimovich, Ariel ^a   Meshi, Ofer ^a   Friedman, Nir ^a  

^a HEBREW UNIVERSITY OF JERUSALEM   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATE INFERENCE; BELIEF PROPAGATION; COMPLEX DOMAINS; COMPUTATIONAL PROCEDURES; FLEXIBLE FRAMEWORK; INHERENT SYMMETRY; JOINT DISTRIBUTIONS; LARGE DOMAIN; LEARNING PROCEDURES; LEARNING TIME; LOOPY BELIEF PROPAGATION; MARKOV RANDOM FIELDS; PARAMETER CHOICE; PROTEIN-PROTEIN INTERACTION NETWORKS; RELATIONAL MODEL; RUNNING TIME; SUFFICIENT STATISTICS; TEMPLATE-BASED;

ARTIFICIAL INTELLIGENCE;

STRUCTURAL FRAMES;

EID: 40249090962     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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