Scalable Rule Learning in Probabilistic Knowledge Bases.
Arcchit JainTal FriedmanOndrej KuzelkaGuy Van den BroeckLuc De RaedtPublished in: AKBC (2019)
Keyphrases
- rule learning
- knowledge base
- subgroup discovery
- inductive logic programming
- rule sets
- decision rules
- bayes net
- knowledge acquisition
- relational learning
- learning scheme
- expert systems
- inductive learning
- hill climbing
- rule learner
- bayesian networks
- neural network
- learning classifier systems
- knowledge representation
- decision trees
- phase transition
- concept learning
- interesting patterns
- post processing
- logic programming
- evolutionary algorithm
- data structure