Fast Sparse Gaussian Process Methods: The Informative Vector Machine

NIPS 2002: Proceedings of the 15th International Conference on Neural Information Processing Systems

Volumn , Issue , 2002, Pages 609-616

  Lawrence, Neil ^a   Seeger, Matthias ^b   Herbrich, Ralf ^c  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

^c MICROSOFT RESEARCH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC);

ACTIVE LEARNING; FORWARD SELECTION; INFORMATIVE VECTOR MACHINES; LEARN+; PROCESS METHODS; SPARSE GAUSSIAN PROCESS; SPARSE PREDICTORS; SUPPORT VECTORS MACHINE; TIME REQUIREMENTS; TRAINING POINTS;

SUPPORT VECTOR MACHINES;

EID: 85156260506     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

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