Dropout-Based Active Learning for Regression.
Evgenii TsymbalovMaxim PanovAlexander ShapeevPublished in: AIST (2018)
Keyphrases
- active learning
- active sampling
- regression model
- semi supervised
- random sampling
- learning strategies
- selective sampling
- imbalanced data classification
- regression algorithm
- locally weighted
- linear regression
- ridge regression
- polynomial regression
- machine learning
- learning process
- regression methods
- regression problems
- regression method
- neural network
- pool based active learning
- batch mode active learning
- classification and regression problems
- sample selection
- learning algorithm
- gaussian process regression
- simple linear
- support vector
- cost sensitive
- transfer learning
- logistic regression
- training examples
- unlabeled data
- model selection
- experimental design
- generalization error
- feature selection
- least squares
- active learning strategies
- genetic programming
- supervised learning