Reducing correlation of random forest-based learning-to-rank algorithms using subsample size.

Muhammad Ibrahim

Published in: Comput. Intell. (2019)

Keyphrases

random forest
random forests
learning to rank algorithms
decision trees
base classifiers
feature set
ensemble methods
learning to rank
machine learning
multi class
ensemble classifier
feature selection
random sampling
ranking svm
decision tree learning algorithms