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The three classifiers reached error rates below 5%%.
For the largest preliminary α pre level of.100, samples of n = 30 reached error rates above 70%.
When the error cost of random codes was minimized by using the straightforward procedure described that includes only pairwise swaps at each step, 81% of the random codes for the PRS and 94% of the random codes for the Gilis matrix reached error cost values that were lower than the cost of the standard code (Fig. 3).
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One can see that BER shows the trend of increasing as Md increases and finally reaching error floor.
One can see that BER increases as the speed of user increases and finally reaches error floor.
Using this we develop a recipe for locating charge points which allows us to reach error norms of typically 10−11 on a wide variety of analytic domains.
In the SEG, the RT increased and the reaching error decreased in the middle stage of the training phase, suggesting that the motor planning would change to reduce the reaching error at this stage.
Subsequently, the RT increased from the late stage of the training phase and the reaching error was reduced.
The results indicate that the learning strategy is flexibly changed according to the training condition to reduce the reaching error in the short-training period.
This implies that the adaptations of motor planning and feedback controller would be more useful for quickly reducing the reaching error than the feedforward controller adaptation.
In the LEG, on the other hand, the reaching error still increased at this stage with the less prolongation of the RT than that in the SEG.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com