A novel parametric-insensitive nonparallel support vector machine for regression.
Zhi-Min YangXiang-Yu HuaYuan-Hai ShaoYa-Fen YePublished in: Neurocomputing (2016)
Keyphrases
- support vector machine
- support vector regression
- ridge regression
- support vector
- support vector machines for classification
- regression problems
- relevance vector machine
- regression model
- linear regression
- nonlinear regression
- multi class
- support vector machine svm
- semi parametric
- small sample
- training set
- machine learning
- training data
- regression method
- svm classification
- svm classifier
- regression algorithm
- feature vectors
- feature selection
- regression methods
- simple linear
- locally weighted
- regression analysis
- data mining
- kernel methods
- model selection
- gaussian processes
- generalization ability
- radial basis function
- multi class support vector machines
- stock market prediction
- soft margin
- k nearest neighbor
- data sets
- structural risk minimization
- pairwise
- least squares
- neural network
- decision forest
- support vectors
- kernel function
- cross validation
- reproducing kernel hilbert space
- decision boundary