Ensemble Prediction of Commercial Bank Failure Through Diversification of Input Features.
Sung Woo ShinKun Chang LeeSüleyman Bilgin KiliçPublished in: Australian Conference on Artificial Intelligence (2006)
Keyphrases
- input features
- commercial banks
- feature selection
- machine learning algorithms
- prediction accuracy
- activation function
- class labels
- neural network
- support vector machine
- ensemble methods
- risk management
- credit risk
- selected features
- random forest
- feature values
- feature subset
- training data
- classification algorithm
- labeled examples
- genetic algorithm
- unlabeled data
- decision trees
- back propagation
- learning algorithm
- pattern recognition