Rigorous Explanation of Inference on Probabilistic Graphical Models.
Yifei LiuChao ChenXi ZhangSihong XiePublished in: CoRR (2020)
Keyphrases
- probabilistic graphical models
- exact inference
- markov logic
- graphical models
- probabilistic inference
- parameter learning
- markov logic networks
- approximate inference
- bayesian networks
- markov networks
- belief networks
- belief propagation
- first order logic
- latent variables
- probabilistic model
- structured prediction
- random variables
- conditional random fields
- belief functions
- efficient learning
- bayesian inference
- message passing
- hidden variables
- statistical learning
- structure learning
- dynamic bayesian networks
- markov random field
- variational methods
- computational intelligence
- higher order
- conditional probabilities
- artificial intelligence