How do the structure and the parameters of Gaussian tree models affect structure learning?
Vincent Y. F. TanAnimashree AnandkumarAlan S. WillskyPublished in: Allerton (2009)
Keyphrases
- structure learning
- tree models
- parameter estimation
- maximum likelihood
- graphical models
- bayesian networks
- tree structure
- maximum likelihood estimation
- markov networks
- conditional independence
- human pose estimation
- graph structure
- dynamic bayesian networks
- model selection
- expectation maximization
- least squares
- conditional random fields
- transfer learning
- network structure
- probability distribution
- social networks