Convex point estimation using undirected Bayesian transfer hierarchies

Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence, UAI 2008

Volumn , Issue , 2008, Pages 179-186

  Elidan, Gal ^a   Packer, Ben ^a   Heitz, Geremy ^a   Koller, Daphne ^a  

^a Stanford University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN COMPUTATION; CONVEX OBJECTIVES; DOCUMENT CLASSIFICATION; GAUSSIAN DENSITY; JOINT DISTRIBUTIONS; JOINT PROBABILISTIC; LEARNING MODELS; LEARNING PROBLEM; LEARNING TASKS; MAXIMUM A POSTERIORI; OBJECT SHAPE MODELING; POINT ESTIMATE; POINT ESTIMATION; SIMILARITY MEASURE; STANDARD OPTIMIZATION; TRANSFER LEARNING;

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; INFORMATION RETRIEVAL SYSTEMS; OPTIMIZATION;

ESTIMATION;

EID: 80053255602     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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