Learning explainable templated graphical models.
Varun EmbarSriram SrinivasanLise GetoorPublished in: UAI (2022)
Keyphrases
- graphical models
- belief propagation
- approximate inference
- random variables
- relational dependency networks
- learning algorithm
- markov logic networks
- probabilistic model
- bayesian networks
- belief networks
- probabilistic inference
- structure learning
- conditional random fields
- pairwise
- statistical inference
- probabilistic graphical models
- statistical relational learning
- structural learning
- prior knowledge
- reinforcement learning
- image segmentation