Active Learning for Non-Parametric Regression Using Purely Random Trees.
Jack GoetzAmbuj TewariPaul M. ZimmermanPublished in: NeurIPS (2018)
Keyphrases
- active learning
- active sampling
- gaussian processes
- semi parametric
- regression model
- regression algorithm
- semi supervised
- random sampling
- learning strategies
- model selection
- selective sampling
- locally weighted
- machine learning
- learning algorithm
- supervised learning
- labeled data
- polynomial regression
- pool based active learning
- linear regression
- support vector
- imbalanced data classification
- gaussian process
- transfer learning
- unlabeled data
- aggregating algorithm
- generalization error
- training set
- experimental design
- training examples
- semi supervised learning
- classification and regression problems
- annotation effort
- data sets
- music emotion classification
- batch mode
- regression methods
- regression problems
- support vector regression
- cross validation
- learning process
- training data
- data mining
- neural network