Construction of classifier with feature selection based on genetic programming.
Anuradha PurohitNarendra S. ChaudhariAruna TiwariPublished in: IEEE Congress on Evolutionary Computation (2010)
Keyphrases
- genetic programming
- feature selection
- feature set
- feature construction
- feature space
- feature selection algorithms
- support vector
- fitness function
- support vector machine
- gene expression programming
- feature subset
- symbolic regression
- text categorization
- bayes classifier
- small sample
- text classification
- feature extraction
- regression problems
- feature selection and classifier
- grammar guided genetic programming
- mutual information
- classification accuracy
- evolutionary algorithm
- input features
- bayesian classifier
- evolutionary computation
- feature ranking
- fold cross validation
- irrelevant features
- feature reduction
- higher classification accuracy
- genetic algorithm
- machine learning
- dimensionality reduction
- multiple kernel learning
- financial forecasting
- classification performances
- multi class
- naive bayes
- classification models
- information gain
- selected features
- text classifiers
- high dimensionality
- classification method
- discriminative features
- ensemble classifier
- instance selection
- class imbalance
- support vector machine svm
- linear classifiers
- knn
- training data