Heron Inference for Bayesian Graphical Models.
Daniel RugelesZhen HaiGao CongManoranjan DashPublished in: CoRR (2018)
Keyphrases
- graphical models
- bayesian networks
- probabilistic inference
- statistical inference
- exact inference
- map inference
- belief propagation
- belief networks
- probabilistic model
- efficient inference algorithms
- approximate inference
- marginal probabilities
- loopy belief propagation
- bayesian inference
- random variables
- undirected graphical models
- factor graphs
- probabilistic graphical models
- structure learning
- nonparametric belief propagation
- directed graphical models
- conditional independence
- markov networks
- conditional random fields
- probabilistic networks
- probabilistic reasoning
- statistical relational learning
- posterior probability
- possibilistic networks
- graphical structure
- markov chain monte carlo
- collective classification
- message passing
- maximum likelihood
- parameter learning
- junction tree
- chain graphs
- dynamic bayesian networks
- relational dependency networks
- image labeling
- structured prediction
- conditional probabilities