ACE: adaptive cluster expansion for maximum entropy graphical model inference.
John P. BartonEleonora De LeonardisAlice CouckeSimona CoccoPublished in: Bioinform. (2016)
Keyphrases
- maximum entropy
- graphical models
- conditional random fields
- probabilistic inference
- exact inference
- map inference
- belief propagation
- factor graphs
- efficient inference algorithms
- random fields
- bayesian networks
- belief networks
- undirected graphical models
- probabilistic model
- approximate inference
- maximum entropy principle
- probabilistic graphical models
- structured prediction
- markov networks
- random variables
- nonparametric belief propagation
- directed graphical models
- probabilistic logic
- parameter learning
- graphical structure
- probabilistic reasoning
- structure learning
- message passing
- markov random field
- clustering algorithm
- dynamic bayesian networks
- bayesian inference
- data clustering
- pairwise