Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations.

David Barber Yali Wang

Published in: ICML (2014)

Keyphrases

bayesian estimation
gaussian processes
ordinary differential equations
differential equations
gaussian process
hyperparameters
posterior distribution
model selection
bayesian framework
em algorithm
regression model
image processing
bayesian inference
random sampling
text mining
least squares
probabilistic model