A new asymmetric ϵ-insensitive pinball loss function based support vector quantile regression model.
Pritam AnandReshma RastogiSuresh ChandraPublished in: Appl. Soft Comput. (2020)
Keyphrases
- loss function
- regression model
- support vector
- logistic regression
- support vector regression
- prediction model
- model selection
- pairwise
- regression methods
- generalized linear models
- linear model
- support vector machine
- risk minimization
- regression analysis
- gaussian process
- feature selection
- hyperparameters
- classification accuracy
- empirical risk
- kernel regression
- kernel function
- stochastic gradient descent
- multivariate regression
- explanatory variables
- binary classification
- kernel methods
- boosting algorithms
- least squares
- reproducing kernel hilbert space
- support vectors
- regularization term
- svm classifier
- generalization ability
- cross validation
- probabilistic model
- text classification
- linear regression model
- active learning