Experimental validation for N-ary error correcting output codes for ensemble learning of deep neural networks.
Kaikai ZhaoTetsu MatsukawaEinoshin SuzukiPublished in: J. Intell. Inf. Syst. (2019)
Keyphrases
- ensemble learning
- error correcting output codes
- base classifiers
- neural network
- multi class
- ensemble methods
- decision trees
- naive bayes
- ensemble classifier
- random forest
- artificial neural networks
- generalization ability
- training set
- pattern recognition
- feature set
- cost sensitive
- back propagation
- binary classifiers
- genetic algorithm
- prediction accuracy
- feature selection
- neural network model
- class labels
- training samples
- pairwise
- machine learning methods
- bp neural network
- test data
- benchmark datasets
- class distribution
- binary classification
- data streams