Graphical Models: Statistical inference vs. determination.
Joachim SchenkBenedikt HörnlerArtur BraunGerhard RigollPublished in: ICASSP (2009)
Keyphrases
- statistical inference
- graphical models
- belief propagation
- random variables
- probabilistic model
- probabilistic inference
- probabilistic graphical models
- bayesian networks
- approximate inference
- structure learning
- map inference
- markov networks
- conditional random fields
- model selection
- conditional independence
- bayesian inference
- message passing