MapReduce guided approximate inference over graphical models.
Ahsanul HaqueSwarup ChandraLatifur KhanMichael BaronPublished in: CIDM (2014)
Keyphrases
- approximate inference
- graphical models
- belief propagation
- exact inference
- probabilistic inference
- probabilistic model
- probabilistic graphical models
- variational methods
- random variables
- conditional random fields
- factor graphs
- loopy belief propagation
- bayesian networks
- message passing
- belief networks
- markov chain monte carlo
- dynamic bayesian networks
- markov networks
- structure learning
- conditional independence
- structured prediction
- free energy
- generalized belief propagation
- junction tree
- exponential family
- stereo matching
- higher order
- active learning