Principal weighted least square support vector machine: An online dimension-reduction tool for binary classification.
Hyun Jung JangSeung Jun ShinAndreas ArtemiouPublished in: Comput. Stat. Data Anal. (2023)
Keyphrases
- dimension reduction
- binary classification
- multi class
- learning problems
- support vector
- cost sensitive
- high dimensionality
- principal component analysis
- feature extraction
- low dimensional
- generalization error
- support vector machine
- multi label
- feature selection
- high dimensional data
- linear discriminant analysis
- ensemble methods
- high dimensional
- dimensionality reduction
- unsupervised learning
- prediction accuracy
- feature space
- class imbalance
- singular value decomposition
- cluster analysis
- partial least squares
- supervised learning
- preprocessing
- learning algorithm
- learning tasks
- machine learning methods
- benchmark datasets
- face recognition
- machine learning
- data sets