Control Parameters for Boosting
Cross-Validation for Boosting
Multi-class HingeBoost
Boosting for Classification and Regression
Compute prediction errors
Generating Three-class Data with 50 Predictors
Multi-class AdaBoost
Robust Boosting for Robust Loss Functions
Function to select number of predictors
Boosting for Multi-class Classification
Cross-Validation for Multi-class Hinge Boosting
Compute upper bound of second derivative of loss
Cross-Validation for one-vs-all AdaBoost with multi-class problem
Cross-Validation for Nonconvex Loss Boosting
Cross-Validation for one-vs-all HingeBoost with multi-class problem
Cross-Validation for Multi-class Boosting
Cross-Validation for Nonconvex Multi-class Loss Boosting
Boosting for Multi-Classification
Robust Boosting Path for Nonconvex Loss Functions
Internal Function
Find Number of Variables In Multi-class Boosting Iterations
Robust Boosting for Multi-class Robust Loss Functions