Binary classification using ensemble neural networks and interval neutrosophic sets.
Pawalai KraipeerapunChun Che FungPublished in: Neurocomputing (2009)
Keyphrases
- binary classification
- neural network
- ensemble methods
- multi class
- support vector
- binary classification problems
- global exponential stability
- prediction accuracy
- multi class classification
- learning problems
- generalization error
- cost sensitive
- support vector machine
- benchmark datasets
- multi label
- pattern recognition
- base classifiers
- machine learning methods
- artificial neural networks
- ensemble learning
- decision trees
- learning algorithm
- training data
- genetic algorithm
- class imbalance
- neyman pearson
- face recognition
- cross validation
- test set
- data sets
- machine learning algorithms
- feature selection
- unsupervised learning
- binary classifiers
- k nearest neighbor
- machine learning
- training set