Pages that link to "Item:Q1753611"
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The following pages link to Cost-based feature selection for support vector machines: an application in credit scoring (Q1753611):
Displaying 14 items.
- A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees (Q138141) (← links)
- Functional-bandwidth kernel for support vector machine with functional data: an alternating optimization algorithm (Q1711465) (← links)
- Cost-sensitive feature selection for support vector machines (Q1734839) (← links)
- Predicting loss severities for residential mortgage loans: a three-step selection approach (Q1754749) (← links)
- Evaluating and selecting features via information theoretic lower bounds of feature inner correlations for high-dimensional data (Q2029330) (← links)
- A kernel-free double well potential support vector machine with applications (Q2029332) (← links)
- A maximum-margin multisphere approach for binary multiple instance learning (Q2077935) (← links)
- Tightening big Ms in integer programming formulations for support vector machines with ramp loss (Q2184093) (← links)
- On support vector machines under a multiple-cost scenario (Q2324253) (← links)
- Unsupervised quadratic surface support vector machine with application to credit risk assessment (Q2327637) (← links)
- Mixed integer linear programming for feature selection in support vector machine (Q2414473) (← links)
- A mixed integer linear programming support vector machine for cost-effective group feature selection: branch-cut-and-price approach (Q2670542) (← links)
- (Q5069581) (← links)
- Data mining feature selection for credit scoring models (Q5694076) (← links)
