FIM-Based Pairwise Selection for Active Learning on Imbalanced Datasets.
Lixing ChenXuemin TianLianfang CaiPublished in: SMC (2015)
Keyphrases
- imbalanced datasets
- active learning
- pairwise
- rare class
- class imbalance
- imbalanced class distribution
- cost sensitive learning
- learning from imbalanced data
- class distribution
- semi supervised
- random sampling
- sampling methods
- decision trees
- cost sensitive
- imbalanced data
- learning algorithm
- training examples
- multi class
- ensemble methods
- supervised learning
- feature selection algorithms
- markov random field
- machine learning
- selection algorithm
- training dataset
- similarity measure
- binary classification
- support vector machine