Extreme-Value Graphical Models With Multiple Covariates.
Hang YuJustin DauwelsPhilip JonathanPublished in: IEEE Trans. Signal Process. (2014)
Keyphrases
- graphical models
- extreme values
- belief propagation
- random variables
- probabilistic model
- probabilistic graphical models
- approximate inference
- conditional random fields
- probabilistic inference
- markov networks
- bayesian networks
- structure learning
- map inference
- statistical inference
- factor graphs
- belief networks
- graph structure
- conditional independence
- probability distribution
- statistical relational learning
- sample size
- higher order
- image segmentation