Non-Minimal Triangulations for Mixed Stochastic/Deterministic Graphical Models.
Chris D. BartelsJeff A. BilmesPublished in: UAI (2006)
Keyphrases
- graphical models
- belief propagation
- probabilistic model
- random variables
- bayesian networks
- probabilistic graphical models
- markov networks
- structure learning
- approximate inference
- probabilistic inference
- exact inference
- conditional random fields
- belief networks
- conditional independence
- factor graphs
- undirected graphical models
- map inference
- reinforcement learning
- statistical inference
- chain graphs
- directed acyclic
- exponential family
- loopy belief propagation
- graph structure
- monte carlo
- logic programs