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Improving the random forest algorithm by randomly varying the size of the bootstrap samples for low dimensional data sets.
Md. Nasim Adnan
Md Zahidul Islam
Published in:
ESANN (2015)
Keyphrases
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data sets
random forest
learning algorithm
machine learning
low dimensional
optimization algorithm
support vector machine
decision trees
neural network
training data
data streams
training set
high dimensional
evolutionary algorithm
classification accuracy
optimization method