Least squares support vector machine with parametric margin for binary classification.
Zhixia YangZhe ZhouYaolin JiangPublished in: J. Intell. Fuzzy Syst. (2016)
Keyphrases
- binary classification
- least squares support vector machine
- support vector
- ls svm
- generalization error
- support vector machine
- cross validation
- multi class
- hyperparameters
- cost sensitive
- learning problems
- generalization ability
- svm classifier
- binary classifiers
- statistical learning theory
- multi label
- training set
- model selection
- classification accuracy
- variable selection
- binary classification problems
- sample size
- learning algorithm
- prediction accuracy
- ensemble methods
- training examples
- feature selection
- training data
- loss function
- image segmentation
- class imbalance
- kernel function