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Improving the Robustness of Bagging with Reduced Sampling Size.
Maryam Sabzevari
Gonzalo Martínez-Muñoz
Alberto Suárez
Published in:
ESANN (2014)
Keyphrases
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ensemble methods
imbalanced data
bootstrap sampling
machine learning
ensemble learning
decision trees
computational complexity
sample size
random forests
variance reduction
neural network
monte carlo
memory requirements
standard deviation
sampling strategy