Learning Latent Tree Graphical Models
Myung Jin ChoiVincent Y. F. TanAnimashree AnandkumarAlan S. WillskyPublished in: CoRR (2010)
Keyphrases
- graphical models
- probabilistic graphical models
- approximate inference
- probabilistic inference
- probabilistic model
- reinforcement learning
- random variables
- conditional random fields
- learning algorithm
- belief propagation
- belief networks
- markov logic networks
- prior knowledge
- bayesian framework
- learning problems
- graph structure
- generative model
- markov networks
- lower bound
- factor graphs
- structural learning
- deep architectures
- directed graphical models
- relational dependency networks