Optimal covariance selection for estimation using graphical models.
Sergey VichikYaakov OshmanPublished in: ACC (2011)
Keyphrases
- graphical models
- belief propagation
- probabilistic model
- probabilistic inference
- probabilistic graphical models
- random variables
- approximate inference
- bayesian networks
- markov networks
- structure learning
- conditional random fields
- belief networks
- map inference
- conditional independence
- factor graphs
- structural learning
- importance sampling
- exact inference
- exponential family
- statistical relational learning
- undirected graphical models
- directed acyclic
- statistical inference
- relational data
- parameter estimation
- particle filter
- optimal solution