A Novel Twin Support Vector Machine with Generalized Pinball Loss Function for Pattern Classification.
Wanida PanupWachirapong RatipapongtonRabian WangkeereePublished in: Symmetry (2022)
Keyphrases
- pattern classification
- loss function
- support vector machine
- support vector
- decision boundary
- maximum margin
- bayes rule
- feature extraction
- pairwise
- pattern recognition
- nearest neighbor rule
- empirical risk
- reproducing kernel hilbert space
- svm classifier
- feature selection
- risk minimization
- boosting framework
- kernel methods
- multi class
- weight vector
- boosting algorithms
- stochastic gradient descent
- convex loss functions
- pattern classification problems
- neural network
- generalization ability
- binary classification
- training data
- k nearest neighbor
- image processing
- knn
- hyperplane
- pairwise constraints
- decision function
- feature space
- soft margin
- feature vectors
- nearest neighbor
- classification algorithm
- support vector machine svm