A Relationship between Cross-validation and Vapnik Bounds on Generalization of Learning Machines.
Przemyslaw KleskPublished in: ICAART (1) (2011)
Keyphrases
- learning machines
- cross validation
- model selection
- support vector
- generalization error
- binary classification
- generalization bounds
- statistical learning theory
- kernel machines
- vc dimension
- hyperparameters
- sample complexity
- training set
- machine learning
- sample size
- kernel function
- support vector machine
- feature selection
- ensemble learning
- pairwise
- back propagation
- learning tasks
- multi class
- special case
- feature vectors
- pattern recognition
- optimal solution
- neural network