Binary classification with ambiguous training data.
Naoya OtaniYosuke OtsuboTetsuya KoikeMasashi SugiyamaPublished in: Mach. Learn. (2020)
Keyphrases
- binary classification
- training data
- generalization error
- support vector machine
- learning problems
- multi class
- support vector
- learning algorithm
- cost sensitive
- active learning
- multi class classification
- supervised learning
- multi label
- training set
- decision trees
- cross validation
- ensemble methods
- training examples
- upper bound
- data sets
- binary classifiers
- test data
- prediction accuracy
- class imbalance
- classification accuracy
- model selection
- class labels
- naive bayes
- sample size
- class distribution
- test set
- training samples
- semi supervised learning
- learning experience
- prior knowledge
- lower bound