A soft-margin convex polyhedron classifier for nonlinear task with noise tolerance.
Qiangkui LengZuowei HeYuqing LiuYuping QinYujian LiPublished in: Appl. Intell. (2021)
Keyphrases
- noise tolerance
- soft margin
- support vector machine
- support vector
- convex hull
- parameter selection
- generalization ability
- class conditional
- boosting algorithms
- linearly separable
- linear classifiers
- generalization error
- svm classifier
- support vectors
- perceptron algorithm
- training data
- multi class
- semi supervised
- feature space
- learning algorithm
- hyperplane
- ensemble methods
- noisy data
- nearest neighbor
- active learning