Reading grid for feature selection relevance criteria in regression.
Alexandra DegeestBenoît FrénayMichel VerleysenPublished in: Pattern Recognit. Lett. (2021)
Keyphrases
- feature selection
- supervised feature selection
- model selection
- feature relevance
- support vector machines for classification
- regression model
- regression problems
- support vector
- linear regression
- multi criteria
- feature selection algorithms
- feature set
- text categorization
- feature space
- selection criteria
- minimum redundancy
- text classification
- multi class
- regression algorithm
- rank order
- evaluation criteria
- relevance feedback
- information retrieval
- regression methods
- regression method
- microarray data
- regression analysis
- classification accuracy
- microarray
- dimensionality reduction
- feature extraction
- stepwise regression
- mutual information
- method for feature selection
- naive bayes
- kernel function
- machine learning
- grid environment
- discriminative features
- feature weighting
- image retrieval
- multiple criteria
- information gain