Learning Mixtures of Tree Graphical Models.
Animashree AnandkumarDaniel J. HsuFurong HuangSham M. KakadePublished in: NIPS (2012)
Keyphrases
- graphical models
- belief propagation
- bayesian networks
- probabilistic inference
- probabilistic model
- markov networks
- undirected graphical models
- random variables
- learning algorithm
- approximate inference
- conditional random fields
- prior knowledge
- graph structure
- probabilistic graphical models
- stereo matching
- statistical relational learning
- map inference