MMD-encouraging convolutional autoencoder: a novel classification algorithm for imbalanced data.
Bin LiXiaofeng GongChen WangRuijuan WuTong BianYanming LiZhiyuan WangRuisen LuoPublished in: Appl. Intell. (2021)
Keyphrases
- classification algorithm
- imbalanced data
- support vector machine
- restricted boltzmann machine
- class distribution
- concept drift
- linear regression
- learning algorithm
- training set
- base learners
- feature selection
- k nearest neighbor
- knn
- classification rules
- ensemble methods
- naive bayes
- ensemble classifier
- svm classifier
- class labels
- training data
- decision trees
- support vector
- classification models
- clustering algorithm
- base classifiers
- random forest
- class imbalance
- data mining
- machine learning
- active learning
- ensemble learning
- probability estimation
- image processing
- sampling methods
- semi supervised
- data sets