Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models.
Sriraam NatarajanTushar KhotDaniel LowdPrasad TadepalliKristian KerstingJude W. ShavlikPublished in: Statistical Relational Artificial Intelligence (2010)
Keyphrases
- causal independence
- markov logic networks
- probabilistic inference
- structure learning
- first order logic
- bayesian networks
- conditional independence
- belief networks
- probabilistic reasoning
- probabilistic graphical models
- markov networks
- graphical models
- model selection
- learning models
- joint probability
- conditional probabilities
- probabilistic model
- higher order