Linear-Time Algorithm for Learning Large-Scale Sparse Graphical Models.
Salar FattahiRichard Y. ZhangSomayeh SojoudiPublished in: IEEE Access (2019)
Keyphrases
- graphical models
- learning algorithm
- gaussian graphical models
- probabilistic model
- worst case
- graph structure
- dynamic programming
- factor graphs
- optimal solution
- reinforcement learning
- belief propagation
- markov logic networks
- objective function
- probabilistic inference
- probabilistic graphical models
- loopy belief propagation
- directed acyclic
- undirected graphical models
- random variables
- conditional random fields
- np hard
- search space
- bayesian networks