On Generalization Bounds for Deep Compound Gaussian Neural Networks.
Carter LyonsRaghu G. RajMargaret CheneyPublished in: CoRR (2024)
Keyphrases
- generalization bounds
- neural network
- data dependent
- learning theory
- generalization ability
- model selection
- vc dimension
- linear classifiers
- statistical learning theory
- learning problems
- ranking algorithm
- pattern recognition
- bp neural network
- artificial neural networks
- back propagation
- fault diagnosis
- fuzzy logic
- learning machines
- support vector machine
- training algorithm
- kernel machines
- radial basis function
- ranking functions
- cross validation
- maximum likelihood
- machine learning