Explaining bagging
Published in Repository for Publications and Research Data (ETH Zurich) • Jan 1, 2000
NobleIDNI3P18W33R90S91
Authors:,
Peter Bühlmann
Bin Yu
Abstract
Bagging is one of the most effective computationally intensive procedures to improve on instable estimators or classifiers, useful especially for high dimensional data set problems.Here we formalize the notion of instability and derive theoretical results to explain a variance reduction effect of ba...
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