Message passing for probabilistic models on networks with loops.
Alec KirkleyGeorge T. CantwellM. E. J. NewmanPublished in: CoRR (2020)
Keyphrases
- message passing
- probabilistic model
- belief propagation
- graphical models
- approximate inference
- distributed systems
- singly connected
- probabilistic inference
- markov random field
- factor graphs
- shared memory
- inference in graphical models
- bayesian networks
- bayesian inference
- conditional random fields
- distributed shared memory
- sum product algorithm
- generative model
- random variables
- markov networks
- network structure
- hidden variables
- graph cuts
- influence diagrams
- loopy belief propagation
- expectation maximization
- topic models