Improving sample and feature selection with principal covariates regression.
Rose K. CersonskyBenjamin A. HelfrechtEdgar A. EngelSergei KliavinekMichele CeriottiPublished in: Mach. Learn. Sci. Technol. (2021)
Keyphrases
- feature selection
- regression model
- sample size
- model selection
- small sample
- support vector machines for classification
- supervised feature selection
- support vector
- regression problems
- regression analysis
- mutual information
- regression coefficients
- logistic regression
- text categorization
- machine learning
- feature selection algorithms
- text classification
- feature set
- multi class
- feature extraction
- method for feature selection
- high dimensionality
- linear regression
- explanatory variables
- support vector regression
- support vector machine
- gaussian processes
- classification accuracy
- regression algorithm
- neural network
- selecting relevant features
- locally weighted
- irrelevant features
- regression method
- multi task
- cross validation
- unsupervised learning
- genetic programming
- dimensionality reduction
- upper bound