Efficient Variational Bayesian Structure Learning of Dynamic Graphical Models.
Hang YuJustin DauwelsPublished in: CoRR (2020)
Keyphrases
- graphical models
- structure learning
- exponential family
- belief propagation
- bayesian networks
- random variables
- probabilistic model
- probabilistic inference
- probabilistic graphical models
- parameter learning
- approximate inference
- conditional independence
- conditional random fields
- markov networks
- markov logic networks
- parameter estimation
- dynamic bayesian networks
- message passing
- transfer learning
- belief networks
- network structure
- exact inference
- sample size
- model selection
- higher order
- factor graphs