Integrating Informativeness, Representativeness and Diversity in Pool-Based Sequential Active Learning for Regression.
Ziang LiuDongrui WuPublished in: IJCNN (2020)
Keyphrases
- active learning
- active sampling
- regression model
- random sampling
- selective sampling
- model selection
- regression analysis
- learning strategies
- supervised learning
- machine learning
- regression algorithm
- active learner
- music emotion classification
- locally weighted
- regression methods
- polynomial regression
- partial least squares
- data mining
- support vector regression
- cost sensitive
- semi supervised learning
- learning process
- training set
- information retrieval
- generalization error
- gaussian processes
- experimental design
- linear regression
- regression method
- unlabeled data
- labeled data
- regression function
- e learning
- learning algorithm