most citedFilter Methods for Feature Selection in Supervised Machine Learning Applications -- Review and Benchmark

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2021★ 2 cited

Filter Methods for Feature Selection in Supervised Machine Learning Applications -- Review and Benchmark

Konstantin Hopf, Sascha Reifenrath

The amount of data for machine learning (ML) applications is constantly growing. Not only the number of observations, especially the number of measured variables (features) increas…