Adding Diversity in Ensembles of Neural Networks by Reordering the Training Set.
Joaquín Torres-SospedraCarlos Hernández-EspinosaMercedes Fernández-RedondoPublished in: ICANN (1) (2008)
Keyphrases
- training set
- neural network
- neural network ensemble
- decision trees
- diversity measures
- base classifiers
- training data
- test set
- classifier ensemble
- artificial neural networks
- test data
- training patterns
- classification accuracy
- nearest neighbor
- supervised learning
- ensemble members
- pattern recognition
- ensemble learning
- ensemble methods
- classification algorithm
- negative correlation learning
- competitive learning
- generalization error
- naive bayes
- neural network model
- genetic algorithm
- data sets
- class labels
- fuzzy logic
- test images
- multilayer perceptron
- self organizing maps
- fault diagnosis
- svm classifier
- training algorithm
- trained classifiers
- ensemble feature selection
- feature space
- multi objective
- neural nets
- ensemble classifier
- activation function
- active appearance models
- training process
- multi layer
- training samples
- machine learning methods
- genetic algorithm ga
- cross validation
- back propagation