Searching for authors named "Rudy Setiono" – sorted by Relevance.
37 documents found, showing 1 through 10.
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On the Solution of the Parity Problem By a Single Hidden Layer Feedforward Neural Network
- … feedforward neural network Rudy Setiono Department of Information Systems and Computer Science National…
- Cited by 2 (0 self) – Add To MetaCart
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A Penalty-Function Approach for Pruning Feedforward Neural Networks
- … feedforward neural networks Rudy Setiono Department of Information Systems and Computer Science National…
- Cited by 13 (6 self) – Add To MetaCart
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Extracting Rules from Neural Networks by Pruning and Hidden-Unit Splitting
- … and hidden-unit splitting Rudy Setiono Department of Information Systems and Computer Science National…
- Cited by 27 (7 self) – Add To MetaCart
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Extracting M-of-N Rules from Trained Neural Networks
- …Extracting M-of-N Rules from Trained Neural Networks Rudy Setiono School of Computing National…
- Cited by 14 (0 self) – Add To MetaCart
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Extracting Rules From Pruned Neural Networks for Breast Cancer Diagnosis
- … rules from pruned neural networks for breast cancer diagnosis Rudy Setiono Department of Information…
- Cited by 23 (3 self) – Add To MetaCart
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Generating Concise and Accurate Classification Rules for Breast Cancer Diagnosis
- …Generating concise and accurate classification rules for breast cancer diagnosis Rudy Setiono…
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Dimensionality Reduction via Discretization
- … Setiono Department of Information Systems and Computer Science National University of Singapore Kent Ridge…
- Cited by 8 (2 self) – Add To MetaCart
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Scalable Feature Selection For Large Sized Databases
- …SCALABLE FEATURE SELECTION FOR LARGE SIZED DATABASES Huan Liu & Rudy Setiono Department…
- Cited by 2 (0 self) – Add To MetaCart
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Feature Selection via Discretization
- …Feature Selection via Discretization Huan Liu and Rudy Setiono Abstract--- Discretization can turn…
- Cited by 17 (1 self) – Add To MetaCart
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Incremental Feature Selection
- …Incremental Feature Selection Huan Liu and Rudy Setiono Department of Information Systems…
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