Neural-network Modelling of Bayesian Learning and Inference.

Milad Kharratzadeh Thomas R. Shultz

Published in: CogSci (2013)

Keyphrases

bayesian learning
neural network
variational bayes
model selection
posterior distribution
bayesian networks
probability distribution
probabilistic inference
bayesian inference
markov chain monte carlo
belief networks
feature selection
pairwise
high resolution
higher order
level set
cross validation
image processing