Generalized Adversarial Distances to Efficiently Discover Classifier Errors.
Walter D. BennetteSally DufekKarsten MaurerSean SistiBunyod TusmatovPublished in: ICMLA (2020)
Keyphrases
- decision trees
- training data
- label noise
- feature space
- distance measure
- training samples
- linear classifiers
- support vector
- training set
- classifier combination
- data sets
- learning phase
- false negative
- svm classifier
- bayes rule
- hamming distance
- training process
- ensemble learning
- classification method
- distance function
- training examples
- learning algorithm