Generalization Bounds for Neural Networks: Kernels, Symmetry, and Sample Compression.
Christopher SnyderSriram VishwanathPublished in: CoRR (2018)
Keyphrases
- generalization bounds
- neural network
- generalization ability
- data dependent
- learning theory
- model selection
- vc dimension
- linear classifiers
- ranking algorithm
- statistical learning theory
- sample size
- bp neural network
- pattern recognition
- learning problems
- image compression
- back propagation
- learning machines
- compression scheme
- kernel machines
- compression ratio
- support vector
- fuzzy logic
- compression algorithm
- training algorithm
- fault diagnosis
- artificial neural networks
- ensemble learning
- neural network model
- ranking functions
- support vector machine svm
- training process
- statistical learning
- kernel function
- upper bound
- multiple kernel learning
- support vector machine
- learning algorithm
- machine learning