Improving the Efficiency of Approximate Inference for Probabilistic Logical Models by means of Program Specialization

Published in: CoRR (2011)

Keyphrases

approximate inference
factor graphs
probabilistic model
parameter estimation
bayesian networks
graphical models

probabilistic inference
variational methods
dynamic bayesian networks
structured prediction
gaussian process
message passing

exact inference
belief propagation
expectation propagation
variational approximation
image processing
belief networks

latent variables
loopy belief propagation
higher order
variational inference
linear gaussian