54 results on '"Rudy Setiono"'
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2. Neural network training and rule extraction with augmented discretized input.
3. Using Sample Selection to Improve Accuracy and Simplicity of Rules Extracted from Neural Networks for Credit Scoring Applications.
4. NeuroRule: A Connectionist Approach to Data Mining.
5. Rule Extraction from Minimal Neural Networks for Credit Card Screening.
6. Feature Selection: An Ever Evolving Frontier in Data Mining.
7. Understanding consumer heterogeneity: A business intelligence application of neural networks.
8. Predicting consumer preference for fast-food franchises: a data mining approach.
9. A note on knowledge discovery using neural networks and its application to credit card screening.
10. Minerva: Sequential Covering for Rule Extraction.
11. Greedy rule generation from discrete data and its use in neural network rule extraction.
12. Recursive Neural Network Rule Extraction for Data With Mixed Attributes.
13. Gene selection for cancer classification using a hybrid of univariate and multivariate feature selection methods.
14. Knowledge acquisition and revision using neural networks: an application to a cross-national study of brand image perception.
15. Automatic knowledge extraction from survey data: learning M-of-N constructs using a hybrid approach.
16. Extracting salient dimensions for automatic SOM labeling.
17. Separating core and noncore knowledge: an application of neural network rule extraction to a cross-national study of brand image perception.
18. Computational intelligence methods for rule-based data understanding.
19. An approach to generate rules from neural networks for regression problems.
20. Using Neural Network Rule Extraction and Decision Tables for Credit - Risk Evaluation.
21. Effective Query Size Estimation Using Neural Networks.
22. Combining neural network predictions for medical diagnosis.
23. Generating Concise Sets of Linear Regression Rules from Artificial Neural Networks.
24. Extraction of rules from artificial neural networks for nonlinear regression.
25. Guest Editorial White Box Nonlinear Prediction Models.
26. Feedforward Neural Network Construction Using Cross Validation.
27. Preface.
28. A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders.
29. Generating concise and accurate classification rules for breast cancer diagnosis.
30. Learning M-of-N Concepts for Medical Diagnosis Using Neural Networks.
31. FERNN: An Algorithm for Fast Extraction of Rules from Neural Networks.
32. Extracting M-of-N rules from trained neural networks.
33. A connectionist approach to generating oblique decision trees.
34. On mapping decision trees and neural networks.
35. Incremental Feature Selection.
36. Analysis of Hidden Representations by Greedy Clustering.
37. Symbolic rule extraction from neural networks: An application to identifying organizations adopting IT.
38. A Penalty-Function Approach for Pruning Feedforward Neural Networks.
39. Extracting Rules from Neural Networks by Pruning and Hidden-Unit Splitting.
40. NeuroLinear: From neural networks to oblique decision rules.
41. On the solution of the parity problem by a single hidden layer feedforward neural network.
42. Feature Selection via Discretization.
43. Neural-network feature selector.
44. Extracting rules from pruned networks for breast cancer diagnosis.
45. Symbolic Representation of Neural Networks.
46. Improving Backpropagation Learning with Feature Selection.
47. Effective Data Mining Using Neural Networks.
48. Dimensionality reduction via discretization.
49. A Neural Network Construction Algorithm which Maximizes the Likelihood Function.
50. Efficient Neural Network Training on a Cray y-MP.
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