A novel margin-based twin support vector machine with unity norm hyperplanes.
Yuan-Hai ShaoNai-Yang DengPublished in: Neural Comput. Appl. (2013)
Keyphrases
- support vector machine
- hyperplane
- multi class
- svm classifier
- lp norm
- maximum margin
- support vector
- linear classifiers
- support vector machine svm
- machine learning
- binary classifiers
- kernel methods
- feature selection
- feature space
- discriminative learning
- k nearest neighbor
- decision boundary
- training data
- feature vectors
- image classification
- svm classification
- binary classification
- support vectors
- objective function
- kernel function
- neural network
- generalization error
- knn
- axis parallel
- high dimensional feature space
- normal vectors
- decision forest
- boosting algorithms
- multi class classification
- generalization ability
- training samples
- small sample
- support vector regression
- statistical learning theory
- base classifiers
- generalization bounds
- cost sensitive
- data points