A General Framework for Feature Selection Under Orthogonal Regression With Global Redundancy Minimization.
Xueyuan XuXia WuFulin WeiWei ZhongFeiping NiePublished in: IEEE Trans. Knowl. Data Eng. (2022)
Keyphrases
- feature selection
- model selection
- support vector
- regression problems
- regression model
- supervised feature selection
- mutual information
- global information
- text classification
- text categorization
- machine learning
- support vector machines for classification
- feature space
- support vector regression
- high dimensionality
- multi task
- multi class
- feature selection algorithms
- feature extraction
- feature weighting
- data mining
- feature set
- genetic algorithm
- minimum redundancy
- feature selection and classification
- unsupervised feature selection
- ridge regression
- partial least squares
- support vector machine
- feature subset
- microarray data
- neural network