DL-Lite Bayesian Networks: A Tractable Probabilistic Graphical Model.
Denis Deratani MauáFábio Gagliardi CozmanPublished in: SUM (2015)
Keyphrases
- probabilistic graphical models
- dl lite
- bayesian networks
- first order logic
- graphical models
- markov networks
- description logics
- parameter learning
- computational complexity
- exact inference
- probabilistic reasoning
- query answering
- hidden variables
- probabilistic inference
- data complexity
- expressive power
- structure learning
- approximate inference
- application to image segmentation
- probabilistic model
- belief propagation
- np complete
- knowledge representation
- conjunctive queries
- random variables
- conditional independence
- conditional probabilities
- query rewriting
- latent variables
- conditional random fields
- posterior probability
- probability distribution
- inductive logic programming
- ontology languages
- np hard
- semantic web
- incomplete data
- structured prediction
- generative model
- dynamic bayesian networks
- maximum likelihood
- reasoning tasks
- hidden markov models