Modelling Probabilistic Inference Networks and Classification in Probabilistic Datalog.
Miguel Martinez-AlvarezThomas RoellekePublished in: SUM (2010)
Keyphrases
- probabilistic inference
- probabilistic networks
- bayesian networks
- graphical models
- probabilistic reasoning
- belief networks
- conditional probabilities
- variable elimination
- probabilistic databases
- influence diagrams
- feature vectors
- message passing
- context specific independence
- class labels
- approximate inference
- supervised learning
- classification accuracy
- bayesian belief networks
- factor graphs
- weighted model counting
- support vector machine svm
- support vector
- random variables
- generative model
- feature extraction
- support vector machine
- probabilistic model
- exact inference
- decision trees
- elimination algorithm
- similarity measure
- training data
- feature space
- training set
- probability distribution
- knowledge representation
- logic programming
- neural network