Empowering Imbalanced Data in Supervised Learning: A Semi-supervised Learning Approach.
Bassam A. AlmogahedIoannis A. KakadiarisPublished in: ICANN (2014)
Keyphrases
- imbalanced data
- supervised learning
- class distribution
- training set
- feature selection
- training data
- ensemble methods
- unsupervised learning
- linear regression
- learning from imbalanced data
- semi supervised
- classification models
- learning problems
- support vector machine
- imbalanced datasets
- reinforcement learning
- decision trees
- active learning
- semi supervised learning
- random forest
- class imbalance
- learning algorithm
- learning tasks
- unlabeled data
- class labels
- training examples
- sampling methods
- svm classifier
- labeled data
- machine learning
- ensemble learning
- ensemble classifier
- generalization error
- training samples
- minority class