Training Cost-Sensitive Neural Networks with Methods Addressing the Class Imbalance Problem.
Zhi-Hua ZhouXu-Ying LiuPublished in: IEEE Trans. Knowl. Data Eng. (2006)
Keyphrases
- cost sensitive
- class imbalance
- cost sensitive learning
- neural network
- class distribution
- sampling methods
- active learning
- naive bayes
- multi class
- binary classification
- pairwise
- support vector machine
- loss function
- cost sensitive boosting
- misclassification costs
- learning models
- missing values
- cross validation
- test set
- markov random field
- training set
- support vector
- data mining