Linear-Time Algorithm for Learning Large-Scale Sparse Graphical Models.
Richard Y. ZhangSalar FattahiSomayeh SojoudiPublished in: CoRR (2018)
Keyphrases
- graphical models
- learning algorithm
- probabilistic model
- factor graphs
- approximate inference
- graph structure
- gaussian graphical models
- objective function
- expectation maximization
- loopy belief propagation
- probabilistic inference
- map inference
- optimal solution
- directed acyclic
- generative model
- latent variables
- worst case
- prior knowledge
- probabilistic graphical models
- belief propagation
- parameter learning
- markov networks
- least squares
- bayesian networks
- image segmentation