The following pages link to (Q4413264):
Displaying 16 items.
- Boosting algorithms: regularization, prediction and model fitting (Q449780) (← links)
- Fully corrective boosting with arbitrary loss and regularization (Q460675) (← links)
- A boosting approach for supervised Mahalanobis distance metric learning (Q645912) (← links)
- Machine learning approaches for discrimination of extracellular matrix proteins using hybrid feature space (Q738768) (← links)
- The value of agreement a new boosting algorithm (Q927875) (← links)
- Using boosting to prune double-bagging ensembles (Q961263) (← links)
- A stochastic approximation view of boosting (Q1020818) (← links)
- Quantum adiabatic machine learning (Q2393692) (← links)
- Early stopping in \(L_{2}\)Boosting (Q2445675) (← links)
- An empirical study of using Rotation Forest to improve regressors (Q2470171) (← links)
- Analysis of boosting algorithms using the smooth margin function (Q2473080) (← links)
- An efficient modified boosting method for solving classification problems (Q2479397) (← links)
- Prototype Classification: Insights from Machine Learning (Q3612119) (← links)
- Dual Space Preconditioning for Gradient Descent (Q5857297) (← links)
- Optimization by Gradient Boosting (Q5870986) (← links)
- Explainable subgradient tree boosting for prescriptive analytics in operations management (Q6087515) (← links)
