Generalization Bounds for Vicinal Risk Minimization Principle.
Chao ZhangMin-Hsiu HsiehDacheng TaoPublished in: CoRR (2018)
Keyphrases
- risk minimization
- uniform convergence
- generalization bounds
- empirical risk
- empirical risk minimization
- data dependent
- learning theory
- loss function
- generalization error
- generalization ability
- linear classifiers
- model selection
- ranking algorithm
- vc dimension
- learning problems
- statistical learning theory
- learning machines
- cross validation
- ranking functions
- support vector
- data sets
- training data
- learning rate
- sample size
- support vector machine svm
- upper bound
- kernel machines
- support vector machine
- pairwise
- data mining
- neural network