Bi-directional joint inference for entity resolution and segmentation using imperatively-defined factor graphs

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

Volumn 5782 LNAI, Issue PART 2, 2009, Pages 414-429

  Singh, Sameer ^a   Schultz, Karl ^a   McCallum, Andrew ^a  

^a Biologically Inspired Neural and Dynamical Systems Laboratory   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BI-DIRECTIONAL; BI-DIRECTIONAL JOINTS; CONDITIONAL RANDOM FIELD; FACTOR GRAPHS; INFORMATION FLOWS; MARKOV CHAIN MONTE CARLO; PROBABILISTIC PROGRAMMING LANGUAGE; STATE-OF-THE-ART SYSTEM; SUBTASKS;

GRAPHIC METHODS; MARKOV PROCESSES; ROBOT LEARNING; SECURITY OF DATA;

COMMUNICATION SYSTEMS;

EID: 70349971665     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04174-7_27     Document Type: Conference Paper

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