Learning High-Dimensional Mixtures of Graphical Models
Animashree AnandkumarDaniel J. HsuSham M. KakadePublished in: CoRR (2012)
Keyphrases
- graphical models
- high dimensional
- probabilistic model
- belief propagation
- random variables
- structural learning
- conditional random fields
- approximate inference
- probabilistic inference
- probabilistic graphical models
- markov logic networks
- prior knowledge
- bayesian networks
- belief networks
- relational databases
- reinforcement learning
- stereo matching
- hidden variables
- markov networks
- dynamic bayesian networks
- parameter learning
- image segmentation