New Bootstrap Applications in Supervised Learning

DOI10.1080/03610910802513214zbMath1157.62430OpenAlexW2066250318MaRDI QIDQ3616279

Getulio J. A. Amaral, Marcelo R. P. Ferreira

Publication date: 24 March 2009

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610910802513214

zbMATH Keywords

bootstrapboostingbumping

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonparametric statistical resampling methods (62G09) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Out-of-Bag Estimation of the Optimal Hyperparameter in SubBag Ensemble Method

Cites Work

• Unnamed Item
• Bootstrap methods: another look at the jackknife
• A decision-theoretic generalization of on-line learning and an application to boosting
• Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)
• Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation
• Improvements on Cross-Validation: The .632+ Bootstrap Method
• The elements of statistical learning. Data mining, inference, and prediction

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