Bayesian inference as iterated random functions with applications to sequential inference in graphical models.
Arash A. AminiXuanLong NguyenPublished in: NIPS (2013)
Keyphrases
- bayesian inference
- inference in graphical models
- probabilistic model
- hyperparameters
- prior information
- markov chain monte carlo
- message passing
- markov networks
- pairwise
- particle filter
- machine learning
- conditional probabilities
- belief propagation
- cross validation
- hidden variables
- search space
- expectation propagation