Omni-Ensemble Learning (OEL): Utilizing Over-Bagging, Static and Dynamic Ensemble Selection Approaches for Software Defect Prediction.
Reza MousaviMahdi EftekhariFarhad RahdariPublished in: Int. J. Artif. Intell. Tools (2018)
Keyphrases
- supervised learning
- ensemble learning
- software defect prediction
- unlabeled data
- generalization ability
- ensemble selection
- ensemble methods
- unsupervised learning
- imbalanced data
- feature ranking
- training data
- random forest
- concept drift
- ensemble classifier
- base classifiers
- base learners
- neural network
- machine learning methods
- feature selection
- machine learning algorithms