Evolutionary feature selection for artificial neural network pattern classifiers.
D. T. PhamMarco CastellaniA. A. FahmyPublished in: INDIN (2009)
Keyphrases
- feature selection
- artificial neural networks
- feature set
- support vector
- feature selection algorithms
- genetic algorithm
- feature ranking
- naive bayes
- text categorization
- small sample
- bayes classifier
- pattern matching
- feature subset
- multi layer perceptron
- support vector machine
- classification models
- decision trees
- text classification
- multi class
- neural network
- classification performances
- input features
- back propagation
- radial basis function
- feature selection and classifier
- mutual information
- input variables
- classification accuracy
- irrelevant attributes
- genetic algorithm ga
- evolutionary computation
- feature space
- ensemble classifier
- model selection
- meta learning
- bayesian classifier
- selected features
- learning rules
- ensemble learning
- knn
- irrelevant features
- feature reduction
- linear discriminant
- feature extraction
- binary classification tasks
- fold cross validation
- high dimensionality
- svm classifier
- machine learning algorithms
- discriminative features
- feature weighting
- linear svm
- text classifiers
- linear classifiers
- evolutionary algorithm
- support vector machine svm