A Cost-Sensitive Deep Belief Network for Imbalanced Classification.
Chong ZhangKay Chen TanHaizhou LiGeok Soon HongPublished in: IEEE Trans. Neural Networks Learn. Syst. (2019)
Keyphrases
- cost sensitive
- class imbalance
- cost sensitive classification
- class distribution
- cost sensitive learning
- multi class
- misclassification costs
- binary classification
- naive bayes
- machine learning
- active learning
- classification accuracy
- support vector machine
- data sets
- text classification
- feature selection
- multi label
- base classifiers
- image classification
- support vector
- feature extraction
- decision trees
- restricted boltzmann machine
- neural network