Learning Nonparametric Forest Graphical Models with Prior Information.
Yuancheng ZhuZhe LiuSiqi SunPublished in: AISTATS (2017)
Keyphrases
- graphical models
- prior information
- prior knowledge
- probabilistic model
- learning algorithm
- random variables
- belief propagation
- bayesian networks
- graph cuts
- approximate inference
- bayesian inference
- belief networks
- statistical inference
- undirected graphical models
- exact inference
- factor graphs
- structure learning
- conditional independence
- markov networks
- conditional random fields
- markov random field
- relational databases
- decision trees