Active Learning for Probability Estimation Using Jensen-Shannon Divergence.
Prem MelvilleStewart M. YangMaytal Saar-TsechanskyRaymond J. MooneyPublished in: ECML (2005)
Keyphrases
- probability estimation
- jensen shannon divergence
- active learning
- information theory
- information theoretic
- decision trees
- feature selection
- jensen shannon
- naive bayes
- mutual information
- multi class classification
- semi supervised
- supervised learning
- classification trees
- machine learning
- labeled data
- roc curve
- unlabeled data
- training set
- selection criterion
- learning algorithm
- cost sensitive
- learning process
- semi supervised learning
- generalization error
- dimensionality reduction
- class imbalance
- support vector machine
- receiver operating characteristic
- feature vectors