Selective Supervision: Guiding Supervised Learning with Decision-Theoretic Active Learning.
Ashish KapoorEric HorvitzSumit BasuPublished in: IJCAI (2007)
Keyphrases
- decision theoretic
- active learning
- supervised learning
- semi supervised
- unsupervised learning
- semi supervised learning
- expected utility
- labeled data
- training examples
- learning algorithm
- learning problems
- decision theory
- training set
- machine learning
- unlabeled data
- learning strategies
- planning under uncertainty
- random sampling
- decision models
- training samples
- selective sampling
- learning tasks
- plan recognition
- generalization error
- multiple instance learning
- supervised machine learning
- class labels
- relevance feedback
- experimental design
- goal state
- query by committee
- pool based active learning
- multi class
- labeled examples
- transfer learning
- active learning strategies