Structure Learning in Graphical Models from Indirect Observations.
Hang ZhangAfshin AbdiFaramarz FekriPublished in: CoRR (2022)
Keyphrases
- structure learning
- graphical models
- possibilistic networks
- belief propagation
- probabilistic model
- bayesian networks
- random variables
- markov networks
- probabilistic graphical models
- probabilistic inference
- approximate inference
- dynamic bayesian networks
- parameter learning
- conditional independence
- exact inference
- markov logic networks
- belief networks
- factor graphs
- conditional random fields
- undirected graphical models
- structural learning
- transfer learning
- semi supervised learning
- statistical relational learning
- training set