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Bagging gradient-boosted trees for high precision, low variance ranking models.
Yasser Ganjisaffar
Rich Caruana
Cristina Videira Lopes
Published in:
SIGIR (2011)
Keyphrases
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high precision
low variance
decision trees
ranking models
random forests
naive bayes
decision stumps
high recall
learning to rank
real valued
ranking functions
ensemble methods
web search
ranking algorithm
benchmark datasets
loss function
directly optimize
cost sensitive
achieve high precision
bias variance
high accuracy
training set
information retrieval
evaluation measures
feature space
search engine
machine learning
precision and recall
co occurrence
pairwise
training data