138 citations · 502 across the 17 of their papers we have counts for
Showing 2017 · cs.LGShow all
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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.LG2017★ 3 cited
PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison
Randal S. Olson, William La Cava, Patryk Orzechowski +2
The selection, development, or comparison of machine learning methods in data mining can be a difficult task based on the target problem and goals of a particular study. Numerous p…