Online Bayesian inference for the parameters of PRISM programs.

Published in: Mach. Learn. (2012)

Keyphrases

bayesian inference
hyperparameters
probabilistic model
prior distribution
prior information
bayesian model
statistical inference

hierarchical bayesian
maximum likelihood
weighted model counting
variational bayes
online learning
gaussian process
parameter estimation

probabilistic modeling
particle filter
markov networks
expectation maximization
expectation propagation
gibbs sampler
markov chain monte carlo

markov chain
em algorithm
variational inference
sample size
graphical models
variational approximation
data sets