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Improving Scalability and Performance of Random Forest Based Learning-to-Rank Algorithms by Aggressive Subsampling.
Muhammad Ibrahim
Mark J. Carman
Published in:
AusDM (2014)
Keyphrases
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random forest
learning to rank algorithms
ensemble methods
random forests
decision trees
feature set
learning to rank
decision tree learning algorithms
prediction accuracy
multi label
reinforcement learning
loss function
base classifiers
ranking svm
document retrieval
ranking functions