Fast Approximate Inference in Hybrid Bayesian Networks Using Dynamic Discretisation.
Helge LangsethDavid MarquezMartin NeilPublished in: IWINAC (1) (2013)
Keyphrases
- continuous variables
- bayesian networks
- approximate inference
- linear gaussian
- graphical models
- exact inference
- structure learning
- probabilistic inference
- random variables
- dynamic bayesian networks
- markov blanket
- inference in bayesian networks
- belief propagation
- parameter learning
- variational methods
- loopy belief propagation
- probabilistic model
- structured prediction
- bayesian network inference
- conditional independence
- factor graphs
- expectation propagation
- computer vision
- message passing
- conditional probabilities
- probability distribution
- training set
- machine learning
- markov networks
- similarity measure
- latent variables
- dynamic programming
- active learning