Inductive Learning in Symbolic Domains Using Structure-Driven Recurrent Neural Networks.
Andreas KüchlerChristoph GollerPublished in: KI (1996)
Keyphrases
- inductive learning
- recurrent neural networks
- concept descriptions
- knowledge acquisition
- machine learning
- neural network
- lazy learning
- feed forward
- echo state networks
- induction algorithms
- feature generation
- feedforward neural networks
- explanation based learning
- recurrent networks
- meta learning
- domain theory
- reservoir computing
- inductive logic programming
- artificial neural networks
- knowledge base
- expert systems
- inductive bias
- cascade correlation
- real world
- text categorization
- symbolic representation
- supervised learning
- semi supervised
- neural model
- active learning
- decision trees
- nonlinear dynamic systems