Feature Selection Under Orthogonal Regression with Redundancy Minimizing.
Xueyuan XuXia WuPublished in: ICASSP (2020)
Keyphrases
- feature selection
- supervised feature selection
- support vector
- model selection
- support vector machines for classification
- regression problems
- regression model
- feature selection algorithms
- text classification
- classification accuracy
- support vector regression
- text categorization
- regression algorithm
- unsupervised learning
- multi class
- linear regression
- ridge regression
- small sample
- high dimensionality
- feature space
- feature subset
- gaussian processes
- regression analysis
- machine learning
- cross validation
- polynomial regression
- selected features
- unsupervised feature selection
- regression function
- minimum redundancy
- simple linear
- multi task
- discriminative features
- feature weighting
- information gain
- dimension reduction
- feature set
- knn
- feature extraction
- regression method
- data mining
- mutual information
- minimum length
- redundant features
- least squares
- hilbert schmidt independence criterion