Generalization Bounds for Neural Networks via Approximate Description Length.
Amit DanielyElad GranotPublished in: NeurIPS (2019)
Keyphrases
- generalization bounds
- neural network
- data dependent
- learning theory
- generalization ability
- convex combinations
- model selection
- linear classifiers
- vc dimension
- pattern recognition
- ranking algorithm
- learning problems
- fuzzy logic
- statistical learning theory
- bp neural network
- back propagation
- fault diagnosis
- ranking functions
- learning machines
- artificial neural networks
- genetic algorithm
- training algorithm
- statistical learning
- neural network model
- kernel machines
- support vector machine svm
- multi class
- learning algorithm