An Efficient Drift Detection Module for Semi-supervised Data Classification in Non-stationary Environments.
Arthur C. GorgônioCephas A. S. BarretoSong Jong Márcio Simioni da CostaAnne Magály de Paula CanutoKarliane M. O. ValeFlavius L. GorgônioPublished in: BRACIS (1) (2022)
Keyphrases
- data sets
- semi supervised
- training data
- data structure
- small number
- supervised learning
- semi supervised learning
- data analysis
- active learning
- input data
- feature selection
- unlabeled data
- labeled data
- unsupervised learning
- text classification
- data points
- prior knowledge
- image registration
- multi class
- reinforcement learning
- image processing
- drift detection