CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning.
Hyuck LeeHeeyoung KimPublished in: CoRR (2024)
Keyphrases
- class distribution
- semi supervised learning
- unlabeled data
- minority class
- class imbalance
- training data
- labeled data
- semi supervised
- imbalanced data
- instance selection
- supervised learning
- misclassification costs
- class labels
- text categorization
- unsupervised learning
- training set
- co training
- machine learning
- active learning
- cost sensitive learning
- training examples
- training samples
- learning models
- test set
- ensemble learning
- data sets
- test data
- decision trees
- base classifiers
- learning algorithm
- bayesian networks
- text classification
- high dimensional
- support vector machine
- data mining
- data points