An over-sampling method based on probability density estimation for imbalanced datasets classification.
Lu CaoYikui ZhaiPublished in: ICIIP (2016)
Keyphrases
- probability density estimation
- imbalanced datasets
- cost sensitive learning
- decision trees
- class imbalance
- class distribution
- training dataset
- classification accuracy
- imbalanced data
- class labels
- text classification
- classification models
- ensemble methods
- singular value decomposition
- feature vectors
- support vector
- point set registration
- feature selection algorithms
- sampling methods
- pattern classification
- cost sensitive
- data sets
- test set
- denoising
- image registration
- feature space
- feature extraction
- feature selection