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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… Expand
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Papers overview

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Highly Cited
2012
Highly Cited
2012
  • G. Biau
  • J. Mach. Learn. Res.
  • 2012
  • Corpus ID: 14463568
Random forests are a scheme proposed by Leo Breiman in the 2000's for building a predictor ensemble with a set of decision trees… Expand
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Highly Cited
2010
Highly Cited
2010
This paper proposes, focusing on random forests, the increasingly used statistical method for classification and regression… Expand
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Highly Cited
2008
Highly Cited
2008
Microarray studies yield data sets consisting of a large number of candidate predictors (genes) on a small number of observations… Expand
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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… Expand
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Highly Cited
2006
Highly Cited
2006
Random Forests are considered for classification of multisource remote sensing and geographic data. Various ensemble… Expand
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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… Expand
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Highly Cited
2005
Highly Cited
2005
The task of modeling the distribution of a large number of tree species under future climate scenarios presents unique challenges… Expand
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Highly Cited
2004
Highly Cited
2004
Random forests are a combination of tree predictors such that each tree depends on the values of a random vector sampled… Expand
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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… Expand
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Highly Cited
2003
Highly Cited
2003
  • M. Pal
  • IGARSS . IEEE International Geoscience and…
  • 2003
  • Corpus ID: 62739295
In recent years, a number of works reported the use of combination of multiple classifiers to produce a single classification and… Expand
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