An ε-twin support vector machine for regression.
Yuan-Hai ShaoChunhua ZhangZhi-Min YangLing JingNai-Yang DengPublished in: Neural Comput. Appl. (2013)
Keyphrases
- support vector machine
- support vector regression
- support vector
- ridge regression
- support vector machines for classification
- regression problems
- relevance vector machine
- regression model
- regression method
- multi class
- nonlinear regression
- feature vectors
- linear regression
- svm classifier
- model selection
- k nearest neighbor
- svm classification
- machine learning
- classification and regression problems
- regression function
- kernel function
- support vector machine svm
- classification method
- radial basis function
- small sample
- hyperplane
- simple linear
- structural risk minimization
- regression algorithm
- high classification accuracy
- decision boundary
- regression analysis
- kernel methods
- classification algorithm
- knn
- training data
- learning machines
- ls svm
- standard svm
- logistic regression
- loss function
- special case
- polynomial regression
- aggregating algorithm
- training set
- feature selection