Incremental Inference of Collective Graphical Models.
Rahul SinghIsabel HaaslerQinsheng ZhangJohan KarlssonYongxin ChenPublished in: IEEE Control. Syst. Lett. (2021)
Keyphrases
- graphical models
- probabilistic inference
- exact inference
- map inference
- bayesian networks
- belief propagation
- belief networks
- factor graphs
- efficient inference algorithms
- undirected graphical models
- approximate inference
- loopy belief propagation
- probabilistic model
- probabilistic graphical models
- nonparametric belief propagation
- statistical inference
- random variables
- directed graphical models
- structure learning
- possibilistic networks
- markov networks
- probabilistic networks
- conditional random fields
- relational dependency networks
- graphical structure
- statistical relational learning
- dynamic bayesian networks
- markov logic networks
- parameter learning
- probabilistic reasoning
- conditional independence
- collective classification
- structured prediction
- variational methods
- bayesian inference
- graph structure
- random fields
- junction tree
- directed acyclic graph
- conditional probabilities
- latent variables
- higher order
- relational databases
- pairwise