Measure optimized cost-sensitive neural network ensemble for multiclass imbalance data learning.
Peng CaoDazhe ZhaoOsmar R. ZaïanePublished in: HIS (2013)
Keyphrases
- multi class
- cost sensitive
- cost sensitive classification
- binary classification
- data sets
- cost sensitive learning
- class distribution
- multiclass classification
- misclassification costs
- neural network
- class imbalance
- input data
- active learning
- test data
- high dimensional data
- learning models
- learning process
- training data
- similarity measure
- error rate
- learning tasks
- learning problems
- feature selection
- learning algorithm