PAC-Bayesian Generalization Bounds for MultiLayer Perceptrons.
Xinjie LanXin GuoKenneth E. BarnerPublished in: CoRR (2020)
Keyphrases
- pac bayesian
- multilayer perceptron
- generalization bounds
- data dependent
- learning theory
- generalization ability
- model selection
- ranking algorithm
- neural network
- artificial neural networks
- radial basis function
- back propagation
- learning problems
- large deviations
- linear classifiers
- vc dimension
- statistical learning theory
- neural network model
- empirical risk minimization
- hidden layer
- support vector
- support vector machine svm
- uniform convergence
- ranking functions
- kernel machines
- ensemble learning
- learning algorithm
- learning machines
- cross validation
- sample size
- support vector machine
- knn
- genetic algorithm