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The Generalization Complexity Measure for Continuous Input Data
We introduce in this work an extension for the generalization complexity measure to continuous input data. The measure, originally defined in Boolean space, quantifies the complexity of data in relationship to the prediction accuracy that can be expected when using a supervised classifier like a neu...
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| Auteurs principaux: | , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Hindawi Limited
2014-01-01
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| Collection: | The Scientific World Journal |
| Accès en ligne: | http://dx.doi.org/10.1155/2014/815156 |
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