Online Bayesian Inference for the Parameters of PRISM Programs.
James CussensPublished in: ILP (2011)
Keyphrases
- bayesian inference
- hyperparameters
- prior distribution
- probabilistic model
- prior information
- online learning
- statistical inference
- hierarchical bayesian
- variational inference
- hidden variables
- bayesian model
- expectation propagation
- gibbs sampler
- weighted model counting
- variational bayes
- markov networks
- expectation maximization
- particle filter
- markov chain monte carlo
- probabilistic modeling
- parameter settings
- latent variables
- probability distribution
- machine learning