Active learning using pessimistic expectation estimators.
Lior RokachLihi NaamaniArmin ShmiloviciPublished in: Control. Cybern. (2009)
Keyphrases
- active learning
- learning strategies
- semi supervised
- machine learning
- selective sampling
- learning algorithm
- batch mode active learning
- analytical expressions
- pool based active learning
- unlabeled data
- training set
- labeled data
- imbalanced data classification
- generalization error
- random sampling
- training examples
- supervised learning
- learning process
- relevance feedback
- decision making
- variance estimator
- annotation effort
- asymptotic properties
- low variance
- active learning strategies
- neural network
- gradient estimators
- least squares
- expected utility
- random projections
- experimental design
- class imbalance
- semi supervised learning
- cost sensitive
- incremental learning