Data integration for classification problems employing Gaussian process priors

Advances in Neural Information Processing Systems

Volumn , Issue , 2007, Pages 465-472

  Girolami, Mark ^a   Zhong, Mingjun ^b  

^a UNIVERSITY OF GLASGOW   (United Kingdom)

^b CAMPUS DE BEAULIEU   (France)

Author keywords

[No Author keywords available]

Indexed keywords

AD HOC PARAMETERS; APPROXIMATE INFERENCE; BAYESIAN SOLUTION; CLASSIFIER COMBINATION; COVARIANCE FUNCTION; DATA INTEGRATION; EXPECTATION PROPAGATION; GAUSSIAN PROCESS PRIORS; HETEROGENEOUS DATA; LARGE SCALE PROTEINS; MULTIPLE DATA; OPTIMAL COMBINATION; PREDICTION PROBLEM; STATE-OF-THE-ART PERFORMANCE;

GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); PROTEIN FOLDING;

CLASSIFICATION (OF INFORMATION);

EID: 84864066685     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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