Pages that link to "Item:Q2840869"
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The following pages link to An extension of the receiver operating characteristic curve and AUC-optimal classification (Q2840869):
Displaying 14 items.
- A modified area under the ROC curve and its application to marker selection and classification (Q397196) (← links)
- Overlaying classifiers: A practical approach to optimal scoring (Q607486) (← links)
- A boosting method for maximization of the area under the ROC curve (Q645529) (← links)
- Nonparametric additive model with grouped Lasso and maximizing area under the ROC curve (Q1623603) (← links)
- Optimizing area under the ROC curve using semi-supervised learning (Q1677038) (← links)
- Maximization of AUC and buffered AUC in binary classification (Q1739053) (← links)
- Measuring classifier performance: a coherent alternative to the area under the ROC curve (Q1959522) (← links)
- Machine learning-based receiver operating characteristic (ROC) curves for crisp and fuzzy classification of DNA microarrays in cancer research (Q2270373) (← links)
- Partial AUC maximization in a linear combination of dichotomizers (Q2276010) (← links)
- Maximizing the area under the ROC curve by pairwise feature combination (Q2476954) (← links)
- Multi-instance learning by maximizing the area under receiver operating characteristic curve (Q2687441) (← links)
- Support Vector Algorithms for Optimizing the Partial Area under the ROC Curve (Q5380824) (← links)
- The power-integrated discriminant improvement: an accurate measure of the incremental predictive value of additional biomarkers (Q6627148) (← links)
- Testing the relative performance of data adaptive prediction algorithms: a generalized test of conditional risk differences (Q6632726) (← links)
