Regression tree-based active learning.
Ashna JoseJoão Paulo Almeida de MendonçaEmilie DevijverNoël JakseValérie MonbetRoberta PoloniPublished in: Data Min. Knowl. Discov. (2024)
Keyphrases
- active learning
- active sampling
- regression model
- selective sampling
- regression algorithm
- semi supervised
- random sampling
- supervised learning
- learning algorithm
- learning strategies
- regression problems
- training set
- cost sensitive
- linear regression
- generalization error
- polynomial regression
- imbalanced data classification
- training examples
- transfer learning
- machine learning
- sample selection
- regression methods
- sample complexity
- regression analysis
- unlabeled data
- experimental design
- pool based active learning
- active learning strategies
- locally weighted
- relevance feedback
- batch mode
- regression method
- labeled data
- model selection
- ridge regression
- semi supervised learning
- gaussian processes
- learning process
- rare class
- learning environment
- classification and regression problems
- partial least squares