Bayesian Structure Learning for Stationary Time Series.
Alex TankNicholas J. FotiEmily B. FoxPublished in: UAI (2015)
Keyphrases
- structure learning
- bayesian networks
- non stationary
- graphical models
- conditional independence
- parameter learning
- bayesian network structures
- bayesian network classifiers
- bayesian network structure learning
- markov logic networks
- posterior probability
- markov blanket
- parameter estimation
- transfer learning
- maximum likelihood
- markov networks
- sample size
- probability distribution
- probabilistic model
- conditional probabilities
- approximate inference
- bayesian inference
- structure learning algorithm
- image segmentation
- posterior distribution
- least squares
- network structure
- optical flow