Pages that link to "Item:Q2476954"
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The following pages link to Maximizing the area under the ROC curve by pairwise feature combination (Q2476954):
Displaying 15 items.
- Consistency of the estimator of binary response models based on AUC maximization (Q257398) (← links)
- An online AUC formulation for binary classification (Q408053) (← links)
- A boosting method for maximization of the area under the ROC curve (Q645529) (← links)
- ROC curves for regression (Q898227) (← links)
- Exploiting the relationships among several binary classifiers via data transformation (Q898390) (← links)
- Maximizing area under ROC curve for biometric scores fusion (Q941583) (← links)
- Optimizing between data transformation and parametric weighting for stable binary classification (Q1661444) (← links)
- Optimizing area under the ROC curve using semi-supervised learning (Q1677038) (← links)
- A dynamic over-sampling procedure based on sensitivity for multi-class problems (Q2275973) (← links)
- Partial AUC maximization in a linear combination of dichotomizers (Q2276010) (← links)
- Multi-instance learning by maximizing the area under receiver operating characteristic curve (Q2687441) (← links)
- An extension of the receiver operating characteristic curve and AUC-optimal classification (Q2840869) (← links)
- Calibrating sufficiently (Q5085225) (← links)
- On Feature Ensemble Optimizing the Sensitivity and Partial ROC Curve (Q5226640) (← links)
- Regularization paths of \(L_1\)-penalized ROC curve-optimizing support vector machines (Q6541813) (← links)