Linear Characteristic Graphical Models: Representation, Inference and Applications
Danny BicksonCarlos GuestrinPublished in: CoRR (2010)
Keyphrases
- graphical models
- probabilistic inference
- efficient inference algorithms
- exact inference
- map inference
- belief networks
- factor graphs
- belief propagation
- bayesian networks
- approximate inference
- loopy belief propagation
- probabilistic model
- random variables
- probabilistic graphical models
- dynamic bayesian networks
- undirected graphical models
- nonparametric belief propagation
- statistical inference
- structure learning
- graphical structure
- probabilistic networks
- statistical relational learning
- conditional random fields
- conditional independence
- markov networks
- directed graphical models
- relational models
- message passing
- inference process
- collective classification
- possibilistic networks
- relational dependency networks
- bayesian inference
- graph structure
- marginal probabilities
- markov logic networks
- exponential family
- generalized belief propagation