Cost-Sensitive Boosting Algorithms for Imbalanced Multi-instance Datasets.
Xiaoguang WangStan MatwinNathalie JapkowiczXuan LiuPublished in: Canadian Conference on AI (2013)
Keyphrases
- cost sensitive
- boosting algorithms
- multi instance
- class imbalance
- binary classification
- multi class
- cost sensitive boosting
- class distribution
- multi label
- misclassification costs
- cost sensitive learning
- imbalanced data
- naive bayes
- real valued
- active learning
- text categorization
- base classifiers
- data mining
- pairwise
- binary classifiers
- semi supervised learning
- data sets
- loss function
- error rate
- support vector machine
- dimensionality reduction
- text mining