Iterative Adversarial Inference with Re-Inference Chain for Deep Graphical Models.
Zhihao LiuHui YinHua HuangPublished in: IEICE Trans. Inf. Syst. (2019)
Keyphrases
- graphical models
- probabilistic inference
- exact inference
- map inference
- belief networks
- bayesian networks
- loopy belief propagation
- approximate inference
- statistical inference
- probabilistic model
- factor graphs
- undirected graphical models
- belief propagation
- collective classification
- random variables
- bayesian inference
- markov logic networks
- statistical relational learning
- probabilistic graphical models
- conditional independence
- efficient inference algorithms
- conditional random fields
- probabilistic networks
- possibilistic networks
- structure learning
- markov networks
- nonparametric belief propagation
- directed graphical models
- inference process
- bayesian belief networks
- markov random field
- graphical structure
- chain graphs
- dynamic bayesian networks
- partition function
- structural learning
- parameter learning
- probabilistic reasoning
- message passing