Keyphrases
- loss function
- reproducing kernel hilbert space
- gradient boosting
- support vector
- square loss
- pairwise
- empirical risk
- learning to rank
- risk minimization
- logistic regression
- regression function
- regression model
- linear regression
- weight vector
- hinge loss
- linear models
- boosting framework
- regression methods
- uniform convergence
- pairwise constraints
- solution path
- model selection
- regularization term
- kernel regression
- piecewise linear
- ridge regression
- boosting algorithms
- least squares