Smoothness Bias in Relevance Estimators for Feature Selection in Regression.
Alexandra DegeestMichel VerleysenBenoît FrénayPublished in: AIAI (2018)
Keyphrases
- feature selection
- supervised feature selection
- feature relevance
- support vector
- variance reduction
- model selection
- regression model
- support vector machines for classification
- low variance
- regression problems
- text categorization
- machine learning
- mutual information
- multi class
- information retrieval
- irrelevant features
- estimation problems
- feature selection algorithms
- support vector regression
- feature ranking
- minimum redundancy
- selected features
- linear regression
- text classification
- cost function
- discriminative features
- feature extraction
- feature subset
- dimension reduction
- high dimensionality
- unsupervised learning
- relevance feedback
- information gain
- confidence intervals
- gaussian processes
- microarray data
- feature weighting
- feature set
- feature selection and classification
- feature space
- regression function
- data sets
- semi parametric
- regression methods
- regression method
- partial least squares
- knn
- regression analysis
- prior information
- test collection
- logistic regression
- support vector machine