Fuzzy least squares projection twin support vector machines for class imbalance learning.
M. A. GanaieMuhammad TanveerAlzheimer's Disease Neuroimaging InitiativePublished in: Appl. Soft Comput. (2021)
Keyphrases
- least squares
- support vector
- learning machines
- ls svm
- fuzzy sets
- fuzzy logic
- kernel function
- binary classification
- loss function
- feature selection
- generalization ability
- fuzzy rules
- cross validation
- prediction accuracy
- svm classifier
- support vector machine
- data points
- pairwise
- feature space
- feature extraction
- data sets
- multi class classification