TWSVR: Regression via Twin Support Vector Machine.
Reshma KhemchandaniKeshav GoyalSuresh ChandraPublished in: Neural Networks (2016)
Keyphrases
- support vector machine
- support vector regression
- support vector
- regression problems
- support vector machines for classification
- ridge regression
- relevance vector machine
- regression model
- regression method
- multi class
- svm classifier
- linear regression
- support vector machine svm
- classification and regression problems
- feature selection
- nonlinear regression
- model selection
- training data
- kernel function
- polynomial regression
- regression analysis
- gaussian processes
- kernel methods
- feature vectors
- locally weighted
- soft margin
- stock market prediction
- feature space
- simple linear
- svm classification
- genetic programming
- k nearest neighbor
- generalization ability
- statistical learning theory
- multi class support vector machines
- support vectors
- machine learning
- pairwise
- regression algorithm
- structural risk minimization
- high classification accuracy
- regression methods
- cross validation
- classification algorithm
- maximum margin
- learning machines
- neural network