Pages that link to "Item:Q645529"
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The following pages link to A boosting method for maximization of the area under the ROC curve (Q645529):
Displaying 10 items.
- Multiple suboptimal solutions for prediction rules in gene expression data (Q382664) (← 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)
- Machine learning-based receiver operating characteristic (ROC) curves for crisp and fuzzy classification of DNA microarrays in cancer research (Q2270373) (← links)
- Asymptotic comparison of semi-supervised and supervised linear discriminant functions for heteroscedastic normal populations (Q2418361) (← links)
- Maximizing the area under the ROC curve by pairwise feature combination (Q2476954) (← links)
- An extension of the receiver operating characteristic curve and AUC-optimal classification (Q2840869) (← links)
- Prediction-Based Structured Variable Selection through the Receiver Operating Characteristic Curves (Q3100791) (← links)
- Approximation of the Optimal ROC Curve and a Tree-Based Ranking Algorithm (Q3529908) (← links)
- ROC‐Based Utility Function Maximization for Feature Selection and Classification with Applications to High‐Dimensional Protease Data (Q3549408) (← links)
