Leveraging Ontologies for Lifted Probabilistic Inference and Learning.
Chloé KiddonPedro M. DomingosPublished in: Statistical Relational Artificial Intelligence (2010)
Keyphrases
- probabilistic inference
- context specific independence
- graphical models
- influence diagrams
- learning process
- message passing
- learning algorithm
- supervised learning
- belief networks
- efficient inference
- probabilistic reasoning
- weighted model counting
- approximate inference
- conditional probabilities
- probabilistic model
- reinforcement learning
- bayesian networks
- search algorithm
- bayesian belief networks
- training data
- elimination algorithm
- knowledge base
- machine learning