Incremental inference of collective graphical models.
Rahul SinghIsabel HaaslerQinsheng ZhangJohan KarlssonYongxin ChenPublished in: CoRR (2020)
Keyphrases
- graphical models
- probabilistic inference
- exact inference
- map inference
- belief networks
- belief propagation
- loopy belief propagation
- bayesian networks
- probabilistic model
- approximate inference
- efficient inference algorithms
- undirected graphical models
- factor graphs
- random variables
- probabilistic graphical models
- statistical inference
- nonparametric belief propagation
- structure learning
- probabilistic networks
- possibilistic networks
- conditional random fields
- relational dependency networks
- markov networks
- directed graphical models
- collective classification
- graphical structure
- graph structure
- conditional independence
- statistical relational learning
- markov logic networks
- marginal probabilities
- probabilistic reasoning
- bayesian inference
- random fields
- junction tree
- message passing
- exponential family