Principled and Efficient Motif Finding for Structure Learning in Lifted Graphical Models.
Jonathan FeldsteinDominic PhillipsEfthymia TsamouraPublished in: CoRR (2023)
Keyphrases
- graphical models
- structure learning
- belief propagation
- probabilistic inference
- random variables
- probabilistic model
- approximate inference
- bayesian networks
- parameter learning
- probabilistic graphical models
- markov logic networks
- markov networks
- conditional independence
- belief networks
- conditional random fields
- exact inference
- dynamic bayesian networks
- factor graphs
- undirected graphical models
- statistical relational learning
- parameter estimation
- pairwise