Logical settings for concept learning from incomplete examples in First Order Logic
Dominique BouthinonHenry SoldanoVéronique VentosPublished in: CoRR (2006)
Keyphrases
- concept learning
- first order logic
- inductive logic programming
- expressive power
- predicate calculus
- logical rules
- propositional logic
- knowledge representation
- theorem proving
- inference rules
- probabilistic reasoning
- theorem prover
- representation language
- markov networks
- relational learning
- probabilistic graphical models
- logical formulas
- transitive closure
- relational algebra
- inductive learning
- markov logic
- quantifier elimination
- horn clauses
- background knowledge
- relational domains
- probabilistic logic
- statistical relational learning
- prior knowledge
- markov logic networks
- logic programming
- query language
- natural language
- machine learning