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20172026
most citedVariable selection with genetic algorithms using repeated cross-validation of PLS regression models as fitness measure

3 citations · 3 across the 2 of their papers we have counts for

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stat.CO2024

Stable and Robust Hyper-Parameter Selection Via Robust Information Sharing Cross-Validation

David Kepplinger, Siqi Wei

Robust estimators for linear regression require non-convex objective functions to shield against adverse affects of outliers. This non-convexity brings challenges, particularly whe…

stat.CO2017★ 3 cited

Variable selection with genetic algorithms using repeated cross-validation of PLS regression models as fitness measure

David Kepplinger, Peter Filzmoser, Kurt Varmuza

Genetic algorithms are a widely used method in chemometrics for extracting variable subsets with high prediction power. Most fitness measures used by these genetic algorithms are b…