Meta-learning and feature ranking using genetic programming for classification: Variable terminal weighting.
Anna FriedlanderKourosh NeshatianMengjie ZhangPublished in: IEEE Congress on Evolutionary Computation (2011)
Keyphrases
- meta learning
- feature ranking
- feature selection
- decision trees
- classification models
- model selection
- machine learning algorithms
- support vector
- feature subset selection
- learning tasks
- machine learning
- neural network
- inductive learning
- feature extraction
- multi layer perceptron
- support vector machine
- high dimensionality
- classification accuracy
- random forest
- benchmark datasets
- feature set
- feature subset
- text classification
- missing values
- svm classifier
- feature vectors
- metamodel
- training set
- support vector machine svm
- feature selection algorithms
- training data
- training samples
- data sets