Online Bayesian inference for the parameters of PRISM programs.
James CussensPublished 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