Using Constraint Satisfaction for Learning Hypotheses in Inductive Logic Programming.
Roman BartákOndrej KuzelkaFilip ZeleznýPublished in: FLAIRS Conference (2010)
Keyphrases
- constraint satisfaction
- inductive logic programming
- relational learning
- background knowledge
- constraint satisfaction problems
- concept learning
- learning process
- learning algorithm
- predicate invention
- refinement operators
- heuristic search
- supervised learning
- statistical relational learning
- rule learning
- constraint propagation
- learning problems
- relational data mining
- search algorithm
- phase transition
- constraint programming
- learning tasks
- logic programs
- prior knowledge
- expert systems
- first order logic
- probabilistic reasoning
- parameter estimation
- logic programming
- ilp systems
- bayes net
- information extraction
- constraint relaxation