2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2017★ 2 cited
Benchmarking Relief-Based Feature Selection Methods for Bioinformatics Data Mining
Ryan J. Urbanowicz, Randal S. Olson, Peter Schmitt +2
Modern biomedical data mining requires feature selection methods that can (1) be applied to large scale feature spaces (e.g. `omics' data), (2) function in noisy problems, (3) dete…
cs.DS2017
Relief-Based Feature Selection: Introduction and Review
Ryan J. Urbanowicz, Melissa Meeker, William LaCava +2
Feature selection plays a critical role in biomedical data mining, driven by increasing feature dimensionality in target problems and growing interest in advanced but computational…