Approximate False Positive Rate Control in Selection Frequency for Random Forest

10 Oct 2014 Ender Konukoglu Melanie Ganz

Random Forest has become one of the most popular tools for feature selection. Its ability to deal with high-dimensional data makes this algorithm especially useful for studies in neuroimaging and bioinformatics... (read more)

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