Optical Music Recognition: Standard and Cost-Sensitive Learning with Imbalanced Data.
Wojciech LesinskiAgnieszka JastrzebskaPublished in: CISIM (2015)
Keyphrases
- cost sensitive learning
- imbalanced data
- imbalanced datasets
- class imbalance
- class distribution
- cost sensitive
- minority class
- misclassification costs
- active learning
- high dimensionality
- concept drift
- multi class
- probability estimation
- test set
- missing values
- linear regression
- neural network
- training samples
- binary classification
- support vector machine
- random forest
- rule extraction
- high dimensional