Vector approximate message passing for the generalized linear model.
Philip SchniterSundeep RanganAlyson K. FletcherPublished in: ACSSC (2016)
Keyphrases
- message passing
- linear model
- inference in graphical models
- belief propagation
- least squares
- linear models
- regression model
- distributed systems
- factor graphs
- shared memory
- approximate inference
- junction tree
- probabilistic inference
- sum product
- distributed shared memory
- nonlinear models
- graphical models
- markov random field
- additive model
- image processing
- sum product algorithm
- feature vectors
- bayesian networks
- higher order
- semi supervised
- object recognition
- machine learning