Pages that link to "Item:Q4917509"
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The following pages link to Efficient approximate <i>k</i>‐fold and leave‐one‐out cross‐validation for ridge regression (Q4917509):
Displaying 7 items.
- Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression (Q882240) (← links)
- Leave-two-out cross validation to optimal shape parameter in radial basis functions (Q1717174) (← links)
- Inference for non-probability samples under high-dimensional covariate-adjusted superpopulation model (Q2082488) (← links)
- Efficient leave-\(m\)-out cross-validation of support vector regression by generalizing decremental algorithm (Q2655577) (← links)
- Graphical group ridge (Q5037126) (← links)
- Fast Cross-validation for Multi-penalty High-dimensional Ridge Regression (Q5066470) (← links)
- A Cross-Validation Statistical Framework for Asymmetric Data Integration (Q6055880) (← links)
