Generalization Bounds for Neural Networks via Approximate Description Length.
Amit DanielyElad GranotPublished in: CoRR (2019)
Keyphrases
- generalization bounds
- neural network
- data dependent
- learning theory
- generalization ability
- ranking algorithm
- convex combinations
- vc dimension
- model selection
- linear classifiers
- pattern recognition
- learning problems
- statistical learning theory
- artificial neural networks
- fuzzy logic
- genetic algorithm
- bp neural network
- supervised classification
- neural network model
- support vector machine
- learning machines
- sample size
- feature set