Ensemble Neural Networks Using Interval Neutrosophic Sets and Bagging.
Pawalai KraipeerapunChun Che FungKok Wai WongPublished in: ICNC (1) (2007)
Keyphrases
- neural network
- ensemble methods
- ensemble learning
- negative correlation learning
- global exponential stability
- random forests
- base classifiers
- ensemble classification
- random forest
- artificial neural networks
- majority voting
- ensemble members
- classifier ensemble
- ensemble selection
- ensemble classifier
- neural network ensemble
- pattern recognition
- imbalanced data
- decision trees
- error function
- class label noise
- generalization ability
- benchmark datasets
- training set
- machine learning methods
- decision tree classifiers
- weak learners
- prediction accuracy
- machine learning
- bootstrap sampling
- randomized trees
- back propagation
- base learners
- real numbers
- multilayer perceptron
- decision tree ensembles
- machine learning algorithms
- multi class
- knn
- meta learning
- genetic algorithm
- concept drift