Entropy Criterion for Classifier-Independent Feature Selection.
Naoto AbeMineichi KudoPublished in: KES (4) (2005)
Keyphrases
- feature selection
- feature space
- feature set
- feature selection algorithms
- feature subset
- support vector machine
- support vector
- text categorization
- bayes classifier
- feature selection and classifier
- classification accuracy
- feature weighting
- bayesian classifier
- small sample
- mutual information
- text classification
- dependent features
- feature reduction
- feature ranking
- training data
- fold cross validation
- higher classification accuracy
- classification performances
- ensemble classifier
- multi class
- naive bayes
- high dimensionality
- input features
- classification models
- discriminative features
- machine learning
- hierarchical classification
- classification scheme
- selected features
- text classifiers
- linear classifiers
- multi task
- information gain
- learning algorithm
- microarray data
- decision trees
- knn
- training samples
- data sets
- classification process
- wrapper method
- feature extraction
- irrelevant features
- dimensionality reduction
- classification algorithm
- instance selection
- multi label
- random forest
- selection criterion
- multiple kernel learning