Maximum Persistency via Iterative Relaxed Inference with Graphical Models.
Alexander ShekhovtsovPaul SwobodaBogdan SavchynskyyPublished in: CoRR (2015)
Keyphrases
- graphical models
- probabilistic inference
- exact inference
- map inference
- belief networks
- bayesian networks
- belief propagation
- factor graphs
- approximate inference
- undirected graphical models
- efficient inference algorithms
- probabilistic model
- statistical inference
- loopy belief propagation
- random variables
- nonparametric belief propagation
- probabilistic graphical models
- structure learning
- conditional random fields
- directed graphical models
- statistical relational learning
- generalized belief propagation
- relational dependency networks
- collective classification
- probabilistic networks
- possibilistic networks
- graph structure
- markov networks
- marginal probabilities
- probabilistic reasoning
- conditional independence
- inference process
- parameter learning
- dynamic bayesian networks
- optimal solution
- partition function
- markov logic networks
- bayesian inference
- message passing
- graphical structure
- structural learning
- structured prediction
- conditional probabilities