Neighborhood Approximate Reducts-Based Ensemble Learning Algorithm and Its Application in Software Defect Prediction.
Zhiyong YangJunwei DuQiang HuFeng JiangPublished in: IJCRS (2022)
Keyphrases
- software defect prediction
- ensemble learning
- learning algorithm
- generalization ability
- imbalanced data
- feature ranking
- ensemble methods
- base learners
- rough sets
- unlabeled data
- training data
- active learning
- machine learning algorithms
- machine learning
- sample selection bias
- ensemble classifier
- class imbalance
- support vector machine
- reinforcement learning
- labeled data
- learning process
- random forest
- machine learning methods
- concept drift
- training examples
- training samples
- supervised learning
- neural network
- base classifiers
- learning problems
- decision rules
- support vector machine svm
- semi supervised learning
- learning tasks
- logistic regression
- test set
- back propagation
- semi supervised
- data streams
- data sets