Mode Estimation for High Dimensional Discrete Tree Graphical Models.
Chao ChenHan LiuDimitris N. MetaxasTianqi ZhaoPublished in: NIPS (2014)
Keyphrases
- graphical models
- high dimensional
- undirected graphical models
- graph structure
- belief propagation
- random variables
- probabilistic model
- approximate inference
- bayesian networks
- probabilistic inference
- probabilistic graphical models
- conditional random fields
- markov networks
- structure learning
- dimensionality reduction
- exact inference
- factor graphs
- map inference
- belief networks
- feature space
- similarity search
- parameter estimation
- low dimensional
- maximum likelihood estimation
- conditional independence
- index structure
- importance sampling
- high dimensional data
- generative model
- probability distribution
- directed graphical models