Cutset Bayesian Networks: A New Representation for Learning Rao-Blackwellised Graphical Models.
Tahrima RahmanShasha JinVibhav GogatePublished in: IJCAI (2019)
Keyphrases
- graphical models
- bayesian networks
- structure learning
- markov networks
- probabilistic model
- random variables
- probabilistic graphical models
- undirected graphical models
- probabilistic inference
- conditional independence
- belief propagation
- exact inference
- approximate inference
- markov logic networks
- conditional random fields
- structural learning
- relational models
- dynamic bayesian networks
- reinforcement learning
- parameter learning
- relational dependency networks
- learning algorithm
- hidden variables
- influence diagrams
- maximum likelihood
- statistical relational learning
- map inference
- prior knowledge
- structured prediction
- statistical learning
- graphical structure
- probability distribution