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» Bias in random forest variable importance measures: Illustra...
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BMCBI
2007
147views more  BMCBI 2007»
13 years 5 months ago
Bias in random forest variable importance measures: Illustrations, sources and a solution
Variable importance measures for random forests have been receiving increased attention as a means of variable selection in many classification tasks in bioinformatics and relate...
Carolin Strobl, Anne-Laure Boulesteix, Achim Zeile...
BMCBI
2010
130views more  BMCBI 2010»
13 years 5 months ago
The behaviour of random forest permutation-based variable importance measures under predictor correlation
Background: Random forests (RF) have been increasingly used in applications such as genome-wide association and microarray studies where predictor correlation is frequently observ...
Kristin K. Nicodemus, James D. Malley, Carolin Str...
TSP
2011
165views more  TSP 2011»
12 years 12 months ago
Quaternion ICA From Second-Order Statistics
—This paper addresses the independent component analysis (ICA) of quaternion random vectors. In particular, we focus on the Gaussian case and therefore only consider the quaterni...
Javier Vía, Daniel P. Palomar, Luis Vielva,...