Pages that link to "Item:Q850144"
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The following pages link to Selecting features in microarray classification using roc curves (Q850144):
Displaying 10 items.
- Efficient semi-supervised learning on locally informative multiple graphs (Q650955) (← links)
- ROC curves for regression (Q898227) (← links)
- On eigen-matrix translation method for classification of biological data (Q905162) (← links)
- Stepwise feature selection using generalized logistic loss (Q1023708) (← links)
- D.C. programming for sparse proximal support vector machines (Q2056280) (← links)
- Multiclass classification of sarcomas using pathway based feature selection method (Q2260281) (← links)
- Machine learning-based receiver operating characteristic (ROC) curves for crisp and fuzzy classification of DNA microarrays in cancer research (Q2270373) (← links)
- A dynamic over-sampling procedure based on sensitivity for multi-class problems (Q2275973) (← links)
- A weight function method for selection of proteins to predict an outcome using protein expression data (Q2656115) (← links)
- ROC‐Based Utility Function Maximization for Feature Selection and Classification with Applications to High‐Dimensional Protease Data (Q3549408) (← links)
