Pages that link to "Item:Q1006913"
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The following pages link to Credit scoring using support vector machines with direct search for parameters selection (Q1006913):
Displaying 16 items.
- Combining market and accounting-based models for credit scoring using a classification scheme based on support vector machines (Q470747) (← links)
- Optimization of nearest neighbor classifiers via metaheuristic algorithms for credit risk assessment (Q960116) (← links)
- Cost-based feature selection for support vector machines: an application in credit scoring (Q1753611) (← links)
- Evaluation of SMEs' credit decision based on support vector machine-logistics regression (Q2034587) (← links)
- Updating a credit-scoring model based on new attributes without realization of actual data (Q2256179) (← links)
- Credit risk evaluation with a least squares fuzzy support vector machines classifier (Q2321434) (← links)
- Two-stage genetic programming (2SGP) for the credit scoring model (Q2489349) (← links)
- Comprehensible credit scoring models using rule extraction from support vector machines (Q2643977) (← links)
- Determination of KMV model's optimal default point based on genetic algorithm (Q2823753) (← links)
- A classification spline machine for building a credit scorecard (Q3638578) (← links)
- (Q4605820) (← links)
- Bankruptcy prediction using SVM models with a new approach to combine features selection and parameter optimisation (Q5172554) (← links)
- A MODIFIED LEAST SQUARES SUPPORT VECTOR MACHINE CLASSIFIER WITH APPLICATION TO CREDIT RISK ANALYSIS (Q5305100) (← links)
- Support Vector Machines for Credit Scoring: Extension to Non Standard Cases (Q5445881) (← links)
- Data mining feature selection for credit scoring models (Q5694076) (← links)
- Computational Science - ICCS 2004 (Q5712729) (← links)
