Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical Models.
Jonathan FeldsteinDominic PhillipsEfthymia TsamouraPublished in: AAAI (2023)
Keyphrases
- graphical models
- structure learning
- probabilistic inference
- belief propagation
- bayesian networks
- random variables
- probabilistic graphical models
- probabilistic model
- markov networks
- parameter learning
- approximate inference
- conditional independence
- conditional random fields
- message passing
- exact inference
- markov logic networks
- belief networks
- factor graphs
- undirected graphical models
- gene regulatory networks
- dynamic bayesian networks
- latent variables
- higher order
- data mining
- knowledge discovery