Improving Sample and Feature Selection with Principal Covariates Regression.
Rose K. CersonskyBenjamin A. HelfrechtEdgar A. EngelMichele CeriottiPublished in: CoRR (2020)
Keyphrases
- feature selection
- regression model
- sample size
- model selection
- small sample
- support vector machines for classification
- supervised feature selection
- support vector
- mutual information
- selecting relevant features
- regression methods
- regression problems
- text classification
- response variable
- support vector regression
- machine learning
- feature extraction
- cross validation
- text categorization
- regression method
- feature set
- dimensionality reduction
- method for feature selection
- regression coefficients
- unsupervised learning
- feature selection algorithms
- gaussian process
- multi class
- linear regression
- feature subset
- active learning
- classification accuracy
- canonical correlation analysis
- high dimensional
- irrelevant features
- information gain
- decision trees
- logistic regression