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This paper proposes a novel approach that uses abductive network modeling to automatically identify the most-informative subset of test items that can be used to effectively assess the examinees without seriously degrading accuracy.
Experimental results show that the proposed method realizes fast recognition without degrading accuracy on face, object, and character datasets.
Further increasing the region size past 3×4 regions does not result in improved recognition accuracy as unnecessarily large amounts of redundant information get incorporated into the feature vector degrading accuracy.
The ultimate goal of our evaluation of d-Confidence is to assess its ability to identify instances from unseen classes while querying for fewer labels without degrading accuracy when compared to its baseline criteria confidence and farthest-first.
We describe in Section 4.2 several techniques to make Last achieve higher speeds without degrading accuracy.
For each predictive model, we chose the parameter values of the corresponding classification algorithm and SMOTE to maximize sensitivity without overly degrading accuracy.
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Existing solutions for large batch training either significantly degrade accuracy or require massive hyper-parameter tuning.
The result is an error in HRC event timing that degrades accuracy from about 16 microsec to roughly the mean time between events.
In both cases, model reduction that does not degrade accuracy is necessary for the efficient use of these models.
Including terrain in atmospheric models gives rise to mesh distortions near the lower boundary that can degrade accuracy and challenge the stability of transport schemes.
Trade-offs between spatial resolution and computational efficiency, for example, can degrade accuracy of representing urban water characteristics as less-dominant land uses are systematically removed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com