Cost-Sensitive Batch Mode Active Learning: Designing Astronomical Observation by Optimizing Telescope Time and Telescope Choice.
Xide XiaPavlos ProtopapasFinale Doshi-VelezPublished in: SDM (2016)
Keyphrases
- cost sensitive
- batch mode active learning
- active learning
- misclassification costs
- cost sensitive learning
- multi class
- directly optimize
- cost sensitive classification
- binary classification
- class distribution
- support vector machine
- batch mode
- class imbalance
- naive bayes
- training examples
- boosting algorithms
- random sampling
- data sets
- unlabeled data
- online learning
- high dimensional
- machine learning