Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models.
Sriraam NatarajanTushar KhotDaniel LowdPrasad TadepalliKristian KerstingJude W. ShavlikPublished in: ECML/PKDD (2) (2010)
Keyphrases
- causal independence
- markov logic networks
- belief networks
- first order logic
- conditional independence
- structure learning
- probabilistic inference
- bayesian networks
- probabilistic reasoning
- probabilistic graphical models
- conditional probabilities
- markov networks
- graphical models
- joint probability
- directed graph
- model selection
- markov random field
- max margin
- prior knowledge
- pairwise