Cost Sensitive Learning of Deep Feature Representations from Imbalanced Data.
Salman Hameed KhanMohammed BennamounFerdous Ahmed SohelRoberto TogneriPublished in: CoRR (2015)
Keyphrases
- cost sensitive learning
- imbalanced data
- class imbalance
- class distribution
- minority class
- cost sensitive
- misclassification costs
- active learning
- sampling methods
- training data
- decision trees
- support vector machine
- training set
- test set
- missing values
- probability estimation
- multi class
- high dimensional
- training samples
- high dimensionality
- unlabeled data
- concept drift
- generative model
- classification accuracy
- neural network