Learning Gaussian process models from uncertain data

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

Volumn 5863 LNCS, Issue PART 1, 2009, Pages 433-440

  Dallaire, Patrick ^a   Besse, Camille ^a   Chaib Draa, Brahim ^a  

^a UNIVERSITÉ LAVAL   (Canada)

Author keywords

Dynamical Systems; Gaussian Processes; Noisy Inputs

Indexed keywords

COVARIANCE FUNCTION; GAUSSIAN PROCESS MODELS; GAUSSIAN PROCESS PRIORS; GAUSSIAN PROCESSES; GAUSSIANS; LEARNING TASKS; MEAN SQUARED ERROR; POSTERIOR DISTRIBUTIONS; SYNTHETIC PROBLEM; UNCERTAIN DATAS;

DATA PROCESSING; DISTRIBUTION FUNCTIONS; DYNAMICAL SYSTEMS; GAUSSIAN NOISE (ELECTRONIC);

GAUSSIAN DISTRIBUTION;

EID: 76649101421     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-10677-4_49     Document Type: Conference Paper

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