Training error and sensitivity-based ensemble feature selection.
Wing W. Y. NgYuxi TuoJianjun ZhangSam KwongPublished in: Int. J. Mach. Learn. Cybern. (2020)
Keyphrases
- training error
- ensemble feature selection
- base classifiers
- ensemble methods
- ensemble learning
- error rate
- generalization error
- classification error
- genetic search
- adaboost algorithm
- hidden layer
- gradient method
- gene selection
- training set
- boosting algorithms
- multi class
- feature subset
- cost sensitive
- face detection
- random forest
- data sets
- generalization ability
- prediction accuracy
- naive bayes
- active learning
- artificial neural networks
- data streams
- similarity measure
- decision trees
- learning algorithm
- neural network