Some effects of database corruption in system prediction performance
Many types of intelligent adaptive systems use vast databases of a-priori knowledge during training phases. These systems are then reliant on both the accuracy of this data and on the breadth of the data. It is assumed whilst training that the data encompasses the total operating window for the syst...
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| Main Authors: | , , |
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| Format: | Default Conference proceeding |
| Published: |
2011
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| Subjects: | |
| Online Access: | https://hdl.handle.net/2134/26063 |
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