Adversarial Risk Bounds for Binary Classification via Function Transformation.
Justin KhimPo-Ling LohPublished in: CoRR (2018)
Keyphrases
- binary classification
- risk bounds
- multi class
- learning problems
- multi class classification
- cost sensitive
- support vector
- support vector machine
- prediction accuracy
- multi label
- data dependent
- statistical learning theory
- generalization error
- binary classification problems
- ensemble methods
- learning algorithm
- class imbalance
- binary classifiers
- training set
- data mining
- multiple kernel learning
- pairwise
- learning tasks
- upper bound