Preconditioner Approximations for Probabilistic Graphical Models.
Pradeep RavikumarJohn D. LaffertyPublished in: NIPS (2005)
Keyphrases
- probabilistic graphical models
- graphical models
- markov networks
- first order logic
- exact inference
- approximate inference
- latent variables
- belief propagation
- probabilistic inference
- probabilistic model
- parameter learning
- data mining
- random variables
- conditional random fields
- belief functions
- bayesian networks
- image segmentation
- artificial intelligence
- maximum likelihood
- soft computing
- least squares
- conditional independence
- variational methods