Rademacher Generalization Bounds for Classifier Chains.
Simon MouraMassih-Reza AminiSana LouhichiMarianne ClauselPublished in: CoRR (2018)
Keyphrases
- generalization bounds
- linear classifiers
- data dependent
- generalization ability
- learning theory
- model selection
- ensemble learning
- ranking algorithm
- multi class
- training data
- hyperplane
- empirical risk minimization
- generalization error
- learning problems
- support vector machine
- learning algorithm
- statistical learning theory
- support vector
- vc dimension
- learning machines
- uniform convergence
- feature selection
- kernel machines
- training set
- svm classifier
- function classes
- decision trees
- statistical learning
- active learning
- feature set
- training samples
- cross validation
- feature space
- training examples