Interpretable Explanations for Probabilistic Inference in Markov Logic.
Khan Mohammad Al FarabiSomdeb SarkhelSanorita DeyDeepak VenugopalPublished in: IEEE BigData (2021)
Keyphrases
- probabilistic inference
- markov logic
- probabilistic graphical models
- graphical models
- markov networks
- markov logic networks
- probabilistic reasoning
- bayesian networks
- web scale
- approximate inference
- exact inference
- belief networks
- entity resolution
- coreference resolution
- conditional probabilities
- first order logic
- belief propagation
- statistical relational learning
- integrating multiple
- inductive logic programming
- structure learning
- random variables
- probabilistic model
- message passing
- conditional independence
- factor graphs
- conditional random fields
- information extraction
- feature selection