Binary classification with ambiguous training data.
Naoya OtaniYosuke OtsuboTetsuya KoikeMasashi SugiyamaPublished in: CoRR (2020)
Keyphrases
- binary classification
- training data
- generalization error
- support vector machine
- learning problems
- multi class
- support vector
- supervised learning
- training set
- learning algorithm
- multi class classification
- cost sensitive
- cross validation
- data sets
- decision trees
- multi label
- model selection
- class imbalance
- active learning
- binary classifiers
- training samples
- test data
- machine learning
- prediction accuracy
- naive bayes
- upper bound
- test set
- semi supervised learning
- ensemble methods
- classification accuracy
- training examples
- unlabeled data
- image classification
- kernel methods
- learning tasks
- collaborative filtering
- small number
- prior knowledge
- learning process
- bayesian networks