Learning Probabilistic Logic Models from Probabilistic Examples (Extended Abstract).
Jianzhong ChenStephen MuggletonJose SantosPublished in: ILP (2007)
Keyphrases
- extended abstract
- probabilistic logic
- learning algorithm
- probabilistic reasoning
- prior knowledge
- probabilistic model
- hidden variables
- supervised learning
- maximum entropy
- statistical relational learning
- machine learning
- background knowledge
- default reasoning
- markov logic networks
- cp logic
- efficient inference and learning