Distilling Symbolic Priors for Concept Learning into Neural Networks.
Ioana MarinescuR. Thomas McCoyThomas L. GriffithsPublished in: CoRR (2024)
Keyphrases
- concept learning
- neural network
- connectionist systems
- connectionist models
- neural learning
- symbolic knowledge
- inductive logic programming
- pattern recognition
- fuzzy logic
- artificial neural networks
- constructive induction
- negative examples
- back propagation
- prior knowledge
- bayesian framework
- contextual information
- general purpose
- feature construction
- learned rules
- training data
- high level
- learning algorithm
- genetic algorithm