Weighted bagging: a modification of AdaBoost from the perspective of importance sampling

DOI10.1080/02664760903456418OpenAlexW2019122452MaRDI QIDQ5124773

Qingzhao Yu

Publication date: 30 September 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760903456418

zbMATH Keywords

AdaBoostbaggingensemble learningcategorical and regression treesgradient-descent boosting

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (2)

Diverse classifier ensemble creation based on heuristic dataset modification ⋮ Neural network modeling of vector multivariable functions in ill-posed approximation problems

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• Sequential Imputations and Bayesian Missing Data Problems
• Monte Carlo strategies in scientific computing
• Stochastic gradient boosting.

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