Pages that link to "Item:Q1278359"
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The following pages link to A comparison of neural networks and linear scoring models in the credit union environment (Q1278359):
Displaying 27 items.
- A data analytic approach to forecasting daily stock returns in an emerging market (Q323244) (← links)
- Credit risk prediction using fuzzy immune learning (Q888689) (← links)
- Diversity of ability and cognitive style for group decision processes (Q1010126) (← links)
- A bibliography of neural network business applications research: 1994--1998 (Q1579012) (← links)
- Neural network credit scoring models (Q1579020) (← links)
- Bayesian neural network learning for repeat purchase modelling in direct marketing (Q1600901) (← links)
- Credit rating using type-2 fuzzy neural networks (Q1718436) (← links)
- Creating a marketing strategy in healthcare industry: a holistic data analytic approach (Q1730517) (← links)
- Predicting repayment of the credit card debt (Q1762040) (← links)
- News-based forecasts of macroeconomic indicators: a semantic path model for interpretable predictions (Q1991118) (← links)
- Predicting mortgage early delinquency with machine learning methods (Q2029349) (← links)
- Machine learning for credit scoring: improving logistic regression with non-linear decision-tree effects (Q2060438) (← links)
- On a high-dimensional model representation method based on copulas (Q2178128) (← links)
- Mining the customer credit using classification and regression tree and multivariate adaptive regression splines (Q2257606) (← links)
- Neural network ensemble strategies for financial decision applications (Q2387272) (← links)
- Two-stage genetic programming (2SGP) for the credit scoring model (Q2489349) (← links)
- Measuring retail company performance using credit scoring techniques (Q2643994) (← links)
- Credit scoring using neural and evolutionary techniques (Q2704189) (← links)
- Using supervised kernel locality preserving projections to improve classifier performance on credit rating forecasting (Q3020601) (← links)
- Behavioural models of credit card usage (Q3591890) (← links)
- Design of adaptive Elman networks for credit risk assessment (Q4991078) (← links)
- Can machine learning approaches predict corporate bankruptcy? Evidence from a qualitative experimental design (Q5234381) (← links)
- Ensembles of Classifiers in Arrears Management (Q5302330) (← links)
- Appropriate machine learning techniques for credit scoring and bankruptcy prediction in banking and finance: A comparative study (Q5858901) (← links)
- Evolutionary radial basis functions for credit assessment (Q5921651) (← links)
- Differentiating between good credits and bad credits using neuro-fuzzy systems (Q5955100) (← links)
- Cost-sensitive thresholding over a two-dimensional decision region for fraud detection (Q6179994) (← links)