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Nevertheless, both methods required less function calls than that by DE-kNN and DE-EkNN.
Training time versus accuracy is a less relevant issue as the best performing methods required less than 10 h.
Finally, the DG methods required less computing time than the SE method due to the local nature of the mass matrix.
Furthermore, application of the new methods required less time compared to formalin-fixed material.
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GPS-based methods require less resources.
These methods require less energy and equipment [1].
The PMS2 and MS2 methods require less computing time than the SOR iteration method.
We show that these reduced data techniques give comparable results to methods which require full multistatic data and that these time dependent methods require less scattered field data than their time harmonic analogs.
Their original approach using operant discrimination training as the basis of the judgement bias test, however, was replaced in many later studies by methods requiring less training, such as the spatial judgement task.
In Figure 2, the first row results show that more iteration steps are required to stop criterion with smaller scale parameter λ0 = 0.67; the second row results show that our proposed methods require less iterations to get the optimal denoising results.
In general, NGS-based methods require less sample DNA and provide higher coverage for a relatively low cost compared to array-based methods.
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CEO of Professional Science Editing for Scientists @ prosciediting.com