Log-concavity results on Gaussian process methods for supervised and unsupervised learning

Advances in Neural Information Processing Systems

Volumn , Issue , 2005, Pages

  Paninski, Liam ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); IMPORTANCE SAMPLING; OPTIMIZATION;

DENSITY ESTIMATION; GAUSSIAN PROCESS PRIORS; GAUSSIAN PROCESSES; LAPLACE APPROXIMATION; MAXIMUM A POSTERIORI; OBSERVATION NOISE; PREDICTIVE DENSITY; SUPERVISED AND UNSUPERVISED LEARNING;

MAXIMUM LIKELIHOOD ESTIMATION;

EID: 84899012151     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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