An approximate inference with Gaussian process to latent functions from uncertain data.

Patrick Dallaire Camille Besse Brahim Chaib-draa

Published in: Neurocomputing (2011)

Keyphrases

gaussian process
approximate inference
uncertain data
latent variables
gaussian processes
expectation propagation
probabilistic model

exact inference
hyperparameters
regression model
bayesian framework
model selection
dynamic bayesian networks
random variables

data streams
probabilistic graphical models
free energy
semi supervised
posterior distribution
knowledge discovery
prior knowledge

variational bayes
information retrieval
topic models
data sets
markov random field
feature selection