Symbolic and Neural Learning Algorithms: An Experimental Comparison.
Jude W. ShavlikRaymond J. MooneyGeoffrey G. TowellPublished in: Mach. Learn. (1991)
Keyphrases
- learning algorithm
- connectionist models
- neural learning
- network architecture
- neural network
- machine learning algorithms
- back propagation
- training data
- machine learning
- active learning
- neural fuzzy
- artificial neural
- neural model
- learning tasks
- reinforcement learning
- inductive learning algorithms
- generalization ability
- learning scheme
- bio inspired
- neural computation
- data mining
- learning paradigms
- learning problems
- training examples
- supervised learning
- high level
- biologically plausible
- learning rules
- decision tree learning
- symbolic data
- generalization error
- learning process
- computational neuroscience
- connectionist systems
- fitted q iteration