Discrete Graphical Models - An Optimization Perspective.
Bogdan SavchynskyyPublished in: Found. Trends Comput. Graph. Vis. (2019)
Keyphrases
- graphical models
- belief propagation
- approximate inference
- probabilistic inference
- probabilistic model
- random variables
- probabilistic graphical models
- structure learning
- markov networks
- map inference
- bayesian networks
- conditional independence
- statistical inference
- conditional random fields
- belief networks
- exponential family
- continuous variables
- message passing
- exact inference
- optimization problems
- graph structure
- markov logic networks
- factor graphs
- directed acyclic
- generative model
- maximum likelihood
- undirected graphical models
- probability distribution
- dynamic programming