Reproducible learning in large-scale graphical models.
Jia ZhouYang LiZemin ZhengDaoji LiPublished in: J. Multivar. Anal. (2022)
Keyphrases
- graphical models
- belief propagation
- reinforcement learning
- structural learning
- probabilistic model
- random variables
- learning problems
- learning algorithm
- bayesian networks
- probabilistic inference
- undirected graphical models
- conditional random fields
- markov networks
- statistical inference
- background knowledge
- message passing
- approximate inference
- probabilistic graphical models