Random forest

Known as: RF (disambiguation), Random forests, Random naive bayes 
Random forests or random decision forests are an ensemble learning method for classification, regression and other tasks, that operate by… (More)
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Highly Cited
2010
Highly Cited
2010
This paper proposes, focusing on random forests, the increa singly used statistical method for classification and regre ssion… (More)
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Highly Cited
2008
Highly Cited
2008
Random forests are becoming increasingly popular in many scientific fields because they can cope with "small n large p" problems… (More)
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Highly Cited
2007
Highly Cited
2007
We explore the problem of classifying images by the object categories they contain in the case of a large number of object… (More)
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Highly Cited
2007
Highly Cited
2007
To distinguish the real pre-miRNAs from other hairpin sequences with similar stem-loops (pseudo pre-miRNAs), a hybrid feature… (More)
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Highly Cited
2006
Highly Cited
2006
Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many… (More)
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Highly Cited
2005
Highly Cited
2005
Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to… (More)
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Highly Cited
2005
Highly Cited
2005
Statistical classification of byperspectral data is challenging because the inputs are high in dimension and represent multiple… (More)
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Highly Cited
2004
Highly Cited
2004
In this paper we propose two ways to deal with the imbalanced data classification problem using random forest. One is based on… (More)
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Highly Cited
2003
Highly Cited
2003
A new classification and regression tool, Random Forest, is introduced and investigated for predicting a compound's quantitative… (More)
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Highly Cited
2001
Highly Cited
2001
Random forests are a combination of tree predictors such that each tree depends on the values of a random vector sampled… (More)
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