Binary Classification with Instance and Label Dependent Label Noise.
Hyungki ImPaul GrigasPublished in: CoRR (2023)
Keyphrases
- label noise
- binary classification
- active learning
- generalization error
- cost sensitive
- multi class
- class imbalance
- learning problems
- multi label
- support vector
- noise tolerant
- multi class classification
- training data
- support vector machine
- noise model
- multiple instance learning
- ensemble methods
- prediction accuracy
- learning algorithm
- binary classification problems
- binary classifiers
- machine learning
- decision trees
- learning tasks
- data sets
- knn
- loss function
- unlabeled data
- boosting algorithms
- semi supervised learning
- image classification
- supervised learning