Pages that link to "Item:Q2629845"
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The following pages link to Imbalanced data classification using second-order cone programming support vector machines (Q2629845):
Displaying 14 items.
- Feature selection for support vector machines via mixed integer linear programming (Q506302) (← links)
- Alternative second-order cone programming formulations for support vector classification (Q726156) (← links)
- An efficient weighted Lagrangian twin support vector machine for imbalanced data classification (Q736317) (← links)
- SVM classification for imbalanced data sets using a multiobjective optimization framework (Q744712) (← links)
- A structural SVM based approach for binary classification under class imbalance (Q1665155) (← links)
- Near-Bayesian support vector machines for imbalanced data classification with equal or unequal misclassification costs (Q1669160) (← links)
- A multi-class SVM approach based on the \( l_1\)-norm minimization of the distances between the reduced convex hulls (Q1677845) (← links)
- Multi-class second-order cone programming support vector machines (Q1750615) (← links)
- Feature scaling via second-order cone programming (Q1793515) (← links)
- A membership probability-based undersampling algorithm for imbalanced data (Q2038205) (← links)
- MREKLM: a fast multiple empirical kernel learning machine (Q2289596) (← links)
- Profit-based churn prediction based on minimax probability machines (Q2301965) (← links)
- Constraint relaxation, cost-sensitive learning and bagging for imbalanced classification problems with outliers (Q2359401) (← links)
- Pseudo-inverse linear discriminants for the improvement of overall classification accuracies (Q2418223) (← links)
