Sample Selection Based Active Learning for Imbalanced Data.
Ikram ChairiSouad AlaouiAbdelouahid LyhyaouiPublished in: SITIS (2014)
Keyphrases
- sample selection
- imbalanced data
- active learning
- class imbalance
- support vector machine
- class distribution
- training data
- sampling methods
- random sampling
- semi supervised
- imbalanced datasets
- linear regression
- training set
- supervised learning
- machine learning
- feature selection
- classification models
- ensemble methods
- training examples
- random forest
- cost sensitive
- selection strategy
- multi class
- decision trees
- binary classification
- svm classifier
- unlabeled data
- semi supervised learning
- labeled data
- learning algorithm
- minority class
- data sets
- similarity measure
- learning process
- genetic programming
- generalization error
- pattern recognition
- high dimensionality
- fitness function
- cost sensitive learning
- benchmark datasets
- genetic algorithm
- knn