Adaptive MCMC-Based Inference in Probabilistic Logic Programs.
Arun NampallyC. R. RamakrishnanPublished in: CoRR (2014)
Keyphrases
- markov chain monte carlo
- probabilistic logic programs
- bayesian inference
- gibbs sampling
- markov chain
- monte carlo
- variational bayes
- posterior distribution
- bayesian networks
- generative model
- posterior probability
- probabilistic inference
- particle filter
- higher order
- approximate inference
- general purpose
- probability distribution
- dirichlet process
- natural language
- gibbs sampler
- decision making