Approximate Message Passing with Restricted Boltzmann Machine Priors.
Eric W. TramelAngélique DrémeauFlorent KrzakalaPublished in: CoRR (2015)
Keyphrases
- message passing
- inference in graphical models
- restricted boltzmann machine
- belief propagation
- loopy belief propagation
- deep learning
- distributed systems
- junction tree
- approximate inference
- probabilistic graphical models
- probabilistic inference
- conditional random fields
- learning algorithm
- graphical models
- markov random field
- bayesian framework
- stereo matching
- markov networks
- maximum a posteriori
- hidden layer
- higher order
- semi supervised
- knowledge representation
- prior knowledge
- computer vision