The following pages link to 10.1162/153244304773936108 (Q4827865):
Displaying 11 items.
- Boosting algorithms: regularization, prediction and model fitting (Q449780) (← links)
- On surrogate loss functions and \(f\)-divergences (Q1020983) (← links)
- On the convergence rate of kernel-based sequential greedy regression (Q1938256) (← links)
- Calibrated asymmetric surrogate losses (Q1950846) (← links)
- Random classification noise defeats all convex potential boosters (Q1959553) (← links)
- Aggregation of estimators and stochastic optimization (Q2197367) (← links)
- On the rate of convergence for multi-category classification based on convex losses (Q2475308) (← links)
- Boosting with early stopping: convergence and consistency (Q2583412) (← links)
- A constant factor approximation algorithm for a class of classification problems (Q3192037) (← links)
- Optimization by Gradient Boosting (Q5870986) (← links)
- A boosting framework for positive-unlabeled learning (Q6657837) (← links)
