Bayesian inference for statistical abduction using Markov chain Monte Carlo.
Masakazu IshihataTaisuke SatoPublished in: ACML (2011)
Keyphrases
- bayesian inference
- statistical inference
- probabilistic model
- prior information
- hyperparameters
- bayesian model
- variational bayes
- variational inference
- weighted model counting
- gibbs sampler
- particle filter
- hidden variables
- probabilistic modeling
- abductive reasoning
- prior distribution
- bayesian models
- logic programming
- markov chain monte carlo
- statistical models
- machine learning
- hierarchical bayesian