A Forward Approach for Sufficient Dimension Reduction in Binary Classification.
Jongkyeong KangSeung Jun ShinPublished in: J. Mach. Learn. Res. (2022)
Keyphrases
- dimension reduction
- binary classification
- multi class
- support vector
- learning problems
- cost sensitive
- principal component analysis
- linear discriminant analysis
- multi label
- feature extraction
- support vector machine
- low dimensional
- feature selection
- high dimensional
- high dimensionality
- class imbalance
- prediction accuracy
- feature space
- singular value decomposition
- ensemble methods
- partial least squares
- generalization error
- unsupervised learning
- dimensionality reduction
- high dimensional data
- cluster analysis
- supervised learning
- neural network
- pattern recognition
- learning algorithm
- machine learning
- learning tasks
- data sets
- feature vectors
- class distribution