FIR as Classifier in the Presence of Imbalanced Data.
Solmaz BagherpourÀngela NebotFrancisco MugicaPublished in: ISNN (2016)
Keyphrases
- unlabeled data
- semi supervised learning
- imbalanced data
- class distribution
- decision boundary
- ensemble learning
- class labels
- training data
- labeled data
- semi supervised
- minority class
- ensemble classifier
- support vector machine
- svm classifier
- classification models
- feature selection
- imbalanced class distribution
- imbalanced datasets
- class imbalance
- decision trees
- feature set
- linear regression
- feature space
- support vector
- sampling methods
- training dataset
- classification algorithm
- classification error
- input data
- learning algorithm
- ensemble methods
- random forest
- fusion method
- data sets
- machine learning algorithms
- training set