Bagging schemes on the presence of class noise in classification.
Joaquín AbellánAndrés R. MasegosaPublished in: Expert Syst. Appl. (2012)
Keyphrases
- class noise
- imbalanced data
- decision trees
- training set
- machine learning
- attribute noise
- classification accuracy
- learning algorithm
- classification algorithm
- feature selection
- data quality
- feature space
- high dimensionality
- text classification
- supervised learning
- support vector machine svm
- feature extraction
- feature set
- noise model
- random forest
- feature vectors
- imbalanced datasets
- majority voting
- class imbalance
- random forests
- classification models
- ensemble methods
- active learning
- noisy data
- high dimensional
- class labels
- machine learning algorithms