Rademacher complexity and generalization performance of multi-category margin classifiers.
Khadija MusayevaFabien LauerYann GuermeurPublished in: Neurocomputing (2019)
Keyphrases
- multi category
- rademacher complexity
- data dependent
- generalization error
- risk minimization
- risk bounds
- generalization bounds
- sparse data
- error bounds
- support vector machine
- training set
- kernel methods
- active learning
- learning algorithm
- upper bound
- linear classifiers
- reproducing kernel hilbert space
- multi class
- data sets
- decision boundary
- high dimensional
- training data
- machine learning