Cross-validated bagged learning
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References listed on IDEAS
- Sinisi Sandra E & van der Laan Mark J., 2004. "Deletion/Substitution/Addition Algorithm in Learning with Applications in Genomics," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 3(1), pages 1-40, August.
- Hothorn, Torsten & Lausen, Berthold, 2005. "Bundling classifiers by bagging trees," Computational Statistics & Data Analysis, Elsevier, vol. 49(4), pages 1068-1078, June.
- Peter Hall & Richard J. Samworth, 2005. "Properties of bagged nearest neighbour classifiers," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(3), pages 363-379.
- Borra, Simone & Di Ciaccio, Agostino, 2002. "Improving nonparametric regression methods by bagging and boosting," Computational Statistics & Data Analysis, Elsevier, vol. 38(4), pages 407-420, February.
- Birkner Merrill D. & Sinisi Sandra E. & van der Laan Mark J., 2005. "Multiple Testing and Data Adaptive Regression: An Application to HIV-1 Sequence Data," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 4(1), pages 1-30, April.
- Mark van der Laan & Sandrine Dudoit & Aad van der Vaart, 2004. "The Cross-Validated Adaptive Epsilon-Net Estimator," U.C. Berkeley Division of Biostatistics Working Paper Series 1141, Berkeley Electronic Press.
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- J. D’Haen & D. Van Den Poel & D. Thorleuchter, 2012. "Predicting Customer Profitability During Acquisition: Finding the Optimal Combination of Data Source and Data Mining Technique," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/818, Ghent University, Faculty of Economics and Business Administration.
More about this item
KeywordsBootstrap aggregation Data-adaptive regression Resistant HIV Deletion/Substitution/Addition algorithm;
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