A computationally fast variable importance test for random forests for high-dimensional data
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Publication:1630843
DOI10.1007/s11634-016-0276-4zbMath1416.62606OpenAlexW2181164912MaRDI QIDQ1630843
Silke Janitza, Anne-Laure Boulesteix, Ender Celik
Publication date: 5 December 2018
Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)
Full work available at URL: https://epub.ub.uni-muenchen.de/25587/1/TR185.pdf
variable selectionrandom forestsfeature selectionvariable importancegene selectionvariable importance test
Applications of statistics to biology and medical sciences; meta analysis (62P10) Hypothesis testing in multivariate analysis (62H15) Learning and adaptive systems in artificial intelligence (68T05)
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Uses Software
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