Feature selection combining genetic algorithm and Adaboost classifiers.
Hassan ChouaibOriol Ramos TerradesSalvatore TabboneFlorence CloppetNicole VincentPublished in: ICPR (2008)
Keyphrases
- feature selection
- genetic algorithm
- support vector
- feature selection and classifier
- feature set
- feature selection algorithms
- multi class
- training data
- ensemble classifier
- combining classifiers
- ensemble learning
- naive bayes
- decision stumps
- feature subset
- classification accuracy
- decision trees
- support vector machine
- machine learning
- text classification
- boosting algorithms
- bayes classifier
- classification models
- adaboost algorithm
- majority voting
- text categorization
- classification performances
- fitness function
- face detection
- base classifiers
- small sample
- feature ranking
- feature space
- training set
- fold cross validation
- genetic algorithm ga
- learning algorithm
- feature extraction
- input features
- multi class classification
- weak classifiers
- meta learning
- evolutionary algorithm
- model selection
- weak learners
- feature reduction
- classification algorithm
- multiclass classification
- binary classification
- data sets
- object detection
- feature vectors
- neural network