On Learning When to Decompose Graphical Models.
Aleksandra PetrovaJavier LarrosaPublished in: LION (2023)
Keyphrases
- graphical models
- belief propagation
- relational dependency networks
- approximate inference
- prior knowledge
- learning algorithm
- probabilistic inference
- bayesian networks
- random variables
- conditional random fields
- relational databases
- exact inference
- probabilistic graphical models
- higher order
- statistical learning
- markov networks
- markov logic networks
- undirected graphical models
- map inference
- machine learning