Dropout-based Active Learning for Regression.
Evgenii TsymbalovMaxim PanovAlexander ShapeevPublished in: CoRR (2018)
Keyphrases
- active learning
- active sampling
- regression model
- selective sampling
- machine learning
- learning algorithm
- linear regression
- random sampling
- regression method
- polynomial regression
- regression problems
- supervised learning
- regression algorithm
- learning strategies
- support vector regression
- labeled data
- model selection
- regression analysis
- gaussian processes
- regression function
- cost sensitive
- unlabeled data
- semi supervised
- training set
- pool based active learning
- locally weighted
- simple linear
- sample selection
- sample complexity
- active learning strategies
- training examples
- aggregating algorithm
- imbalanced data classification
- batch mode active learning
- generalization error
- batch mode
- gaussian process regression
- partial least squares
- data sets
- semi supervised learning
- learning process
- reinforcement learning
- neural network