185 results on '"Rudy Setiono"'
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2. Validating the stable clustering of songs in a structured 3D SOM.
3. Neural network training and rule extraction with augmented discretized input.
4. Tagging documents using neural networks based on local word features.
5. MofN rule extraction from neural networks trained with augmented discretized input.
6. Using Sample Selection to Improve Accuracy and Simplicity of Rules Extracted from Neural Networks for Credit Scoring Applications.
7. Discrete Variable Generation for Improved Neural Network Classification.
8. Keyword extraction using backpropagation neural networks and rule extraction.
9. Feature Selection and Classification – A Probabilistic Wrapper Approach
10. Software Effort Prediction Using Regression Rule Extraction from Neural Networks.
11. Neural Network Rule Extraction and the LED Display Recognition Problem.
12. NeuroRule: A Connectionist Approach to Data Mining.
13. Market research applications of artificial neural networks.
14. Rule Extraction from Support Vector Machines: An Overview of Issues and Application in Credit Scoring.
15. Improved SOM Labeling Methodology for Data Mining Applications.
16. Greedy rule generation from discrete data and its use in neural network rule extraction.
17. From Knowledge Discovery to Implementation: A Business Intelligence Approach Using Neural Network Rule Extraction and Decision Tables.
18. Applying the Conjugate Gradient Method for Text Document Categorization.
19. A Hybrid SOM-SVM Method for Analyzing Zebra Fish Gene Expression.
20. Building Intelligent Credit Scoring Systems Using Decision Tables.
21. Visualizing Globalization: A Self-Organizing Maps Approach to Customer Profiling.
22. A Comparative Study of Centroid-Based, Neighborhood-Based and Statistical Approaches for Effective Document Categorization.
23. Input Selection in Data-Driven Fuzzy Modelling.
24. An Effective Method for Generating Multiple Linear Regression Rules from Artificial Neural Networks.
25. Generating Linear Regression Rules from Neural Networks Using Local Least Squares Approximation.
26. Building Credit-Risk Evaluation Expert Systems Using Neural Network Rule Extraction and Decision Tables.
27. Pruned Neural Networks for Regression.
28. Rapid 3D Model Acquisition from Images of Small Objects.
29. Opening the neural network black box: an algorithm for extracting rules from function approximating artificial neural networks.
30. Neural Network Pruning for Function Approximation.
31. Rule Extraction from Minimal Neural Networks for Credit Card Screening.
32. Generating rules from trained network using fast pruning.
33. Feature Selection: An Ever Evolving Frontier in Data Mining.
34. Understanding consumer heterogeneity: A business intelligence application of neural networks.
35. Predicting consumer preference for fast-food franchises: a data mining approach.
36. A note on knowledge discovery using neural networks and its application to credit card screening.
37. Feature Transformation and Multivariate Decision Tree Induction.
38. Fragmentation problem and automated feature construction.
39. Minerva: Sequential Covering for Rule Extraction.
40. Greedy rule generation from discrete data and its use in neural network rule extraction.
41. Recursive Neural Network Rule Extraction for Data With Mixed Attributes.
42. NeuroLinear: A System for Extracting Oblique Decision Rules from Neural Networks.
43. Gene selection for cancer classification using a hybrid of univariate and multivariate feature selection methods.
44. Feature Selection and Classification - A Probabilistic Wrapper Approach.
45. A Probabilistic Approach to Feature Selection - A Filter Solution.
46. Knowledge acquisition and revision using neural networks: an application to a cross-national study of brand image perception.
47. NeuroRule: A Connectionist Approach to Data Mining.
48. Chi2: feature selection and discretization of numeric attributes.
49. Understanding Neural Networks via Rule Extraction.
50. Automatic knowledge extraction from survey data: learning M-of-N constructs using a hybrid approach.
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