Approximate Message Passing With Consistent Parameter Estimation and Applications to Sparse Learning.
Ulugbek KamilovSundeep RanganAlyson K. FletcherMichael UnserPublished in: IEEE Trans. Inf. Theory (2014)
Keyphrases
- parameter estimation
- message passing
- sparse learning
- markov random field
- belief propagation
- approximate inference
- maximum likelihood
- multi task
- model selection
- factor graphs
- least squares
- random fields
- probabilistic inference
- em algorithm
- distributed systems
- graph cuts
- graphical models
- maximum likelihood estimation
- energy function
- pairwise
- loopy belief propagation
- markov chain monte carlo
- maximum a posteriori
- higher order
- conditional random fields
- expectation maximization
- posterior distribution
- clustering algorithm
- markov networks
- structure learning
- dynamic bayesian networks
- parameter learning
- exact inference
- probabilistic graphical models
- multiscale