Faster Rates in Regression via Active Learning.
Rui M. CastroRebecca WillettRobert D. NowakPublished in: NIPS (2005)
Keyphrases
- active learning
- active sampling
- regression model
- learning algorithm
- regression algorithm
- regression problems
- regression analysis
- selective sampling
- semi supervised
- model selection
- machine learning
- support vector regression
- learning strategies
- pool based active learning
- random sampling
- linear regression
- polynomial regression
- training examples
- labeled data
- supervised learning
- learning process
- training set
- neural network
- unlabeled data
- genetic programming
- memory efficient
- simple linear
- ridge regression
- cost sensitive
- batch mode
- regression method
- partial least squares
- experimental design
- gaussian process
- cross validation
- data mining