Cross-validated bagged learning

DOI10.1016/j.jmva.2007.07.004zbMath1130.62038OpenAlexW2073221582WikidataQ42156006 ScholiaQ42156006MaRDI QIDQ2474238

Maya Petersen, Annette M. Molinaro, Sandra E. Sinisi

Publication date: 5 March 2008

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://biostats.bepress.com/ucbbiostat/paper182

zbMATH Keywords

bootstrap aggregationdata-adaptive regressiondeletion/substitution/addition algorithmresistant HIV

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric statistical resampling methods (62G09) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

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Uses Software

• R
• rpart
• LogicReg

Cites Work

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• Bagging predictors
• Asymptotics of cross-validated risk estimation in estimator selection and performance assess\-ment
• On bagging and nonlinear estimation
• Bundling classifiers by bagging trees
• Multivariate adaptive regression splines
• Heuristics of instability and stabilization in model selection
• Analyzing bagging
• Stacked regressions
• The cross-validated adaptive epsilon-net estimator
• Combining Estiamates in Regression and Classification
• Properties of Bagged Nearest Neighbour Classifiers
• Super Learning: An Application to the Prediction of HIV-1 Drug Resistance
• Deletion/Substitution/Addition Algorithm in Learning with Applications in Genomics
• Multiple Testing and Data Adaptive Regression: An Application to HIV-1 Sequence Data.
• Random forests
• Improving nonparametric regression methods by bagging and boosting.
• Using iterated bagging to debias regressions

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