Declarative modelling for Bayesian inference by shallow embedding.
Henrik NilssonThomas A. NielsenPublished in: EOOLT (2014)
Keyphrases
- bayesian inference
- probabilistic model
- prior information
- hyperparameters
- variational bayes
- bayesian model
- statistical inference
- variational inference
- knowledge representation
- gibbs sampler
- prior distribution
- question answering
- hidden variables
- particle filter
- natural language processing
- bayesian models
- weighted model counting
- probabilistic modeling
- inference process
- maximum likelihood
- prior knowledge
- bayesian networks
- data sets