Active Learning with Distributional Estimates.
Jens RöderBoaz NadlerKevin KunzmannFred A. HamprechtPublished in: UAI (2012)
Keyphrases
- active learning
- learning strategies
- learning algorithm
- selective sampling
- semi supervised
- online learning
- machine learning
- joint estimation
- co occurrence
- unlabeled data
- information retrieval
- probability estimates
- generalization error
- random sampling
- cost sensitive
- transfer learning
- knowledge base
- computer vision
- training examples
- labeled data
- supervised learning
- relevance feedback
- support vector machine
- experimental design
- importance sampling
- reinforcement learning
- rao bound
- batch mode active learning