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The Annals of statistics, ISSN 0090-5364, 08/2015, Volume 43, Issue 4, pp. 1716 - 1741
Random forests are a learning algorithm proposed by Breiman [Mach. Learn. 45 (2001) 5-32] that combines several randomized decision trees and aggregates their predictions by averaging... 
Dimension reduction | Randomization | Sparsity | Additive model | Random forests | Consistency | Statistics & Probability | Physical Sciences | Mathematics | Science & Technology | Studies | Algorithms | Mathematical analysis | Mathematical models | Regression analysis | Decision trees | Statistics | Machine Learning | Statistics Theory | 62G05 | additive model | randomization | 62G20 | sparsity | consistency | dimension reduction
Journal Article
Journal Article
IEEE transactions on pattern analysis and machine intelligence, ISSN 0162-8828, 08/2015, Volume 37, Issue 8, pp. 1558 - 1570
Journal Article
Pattern recognition letters, ISSN 0167-8655, 10/2010, Volume 31, Issue 14, pp. 2225 - 2236
This paper proposes, focusing on random forests, the increasingly used statistical method for classification and regression problems introduced by Leo Breiman in 2001, to investigate two classical... 
Regression | High dimensional data | Variable importance | Random forests | Classification | Variable selection | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Usage | Analysis | Forests and forestry | Statistics | Statistics Theory | Mathematics
Journal Article
Ecology (Durham), ISSN 0012-9658, 1/2012, Volume 93, Issue 1, pp. 156 - 168
Journal Article
Ecological monographs, ISSN 0012-9615, 2/2011, Volume 81, Issue 1, pp. 25 - 41
Journal Article