Universum parametric-margin ν-support vector machine for classification using the difference of convex functions algorithm.
Hossein MoosaeiFatemeh BazikarSaeed KetabchiMilan HladíkPublished in: Appl. Intell. (2022)
Keyphrases
- support vector machine
- convex functions
- objective function
- dynamic programming
- learning algorithm
- support vector machine svm
- dc programming
- optimal solution
- support vector
- dimensionality reduction
- semi supervised learning
- convex hull
- decision boundary
- model selection
- expectation maximization
- linear programming
- feature selection
- worst case
- np hard
- training set
- lower bound
- feature extraction
- semi supervised
- multi class
- piecewise linear
- feature space
- maximum margin
- semidefinite programming
- training data