Pages that link to "Item:Q3833452"
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The following pages link to A comparative study of ordinary cross-validation, <i>v</i>-fold cross-validation and the repeated learning-testing methods (Q3833452):
Displaying 16 items.
- Theoretical analysis of cross-validation for estimating the risk of the k-Nearest Neighbor classifier (Q4614090) (← links)
- Multiple predicting<i>K</i>-fold cross-validation for model selection (Q4634448) (← links)
- Bayesian Model Assessment and Comparison Using Cross-Validation Predictive Densities (Q4781928) (← links)
- A comparison of regularization methods applied to the linear discriminant function with high-dimensional microarray data (Q4922655) (← links)
- A<i>K</i>-fold averaging cross-validation procedure (Q5256283) (← links)
- Factor analysis model evaluation through likelihood cross-validation (Q5425028) (← links)
- Cholesky-based model averaging for covariance matrix estimation (Q5880164) (← links)
- Cross-Validation for Correlated Data (Q5885099) (← links)
- Estimating the Kullback–Liebler risk based on multifold cross‐validation (Q6063607) (← links)
- Estimation of predictive performance in high-dimensional data settings using learning curves (Q6167040) (← links)
- Asymptotics of K-fold cross validation (Q6535409) (← links)
- Honest leave-one-out cross-validation for estimating post-tuning generalization error (Q6541825) (← links)
- Model selection in toxicity studies (Q6573716) (← links)
- Information criteria for model selection (Q6602021) (← links)
- Fast and Exact Leave-One-Out Analysis of Large-Margin Classifiers (Q6631070) (← links)
- A new regression model for the analysis of bimodal censored data: a comparison with random survival forest (Q6654880) (← links)
