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The limits of the three coherence losses as the temperature approaches zero are the corresponding hinge losses, and the limits of the minimizers of their expected errors are the minimizers of the expected errors of the corresponding hinge losses.
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This new approach may also have value in solving other related problems in quantum computing, where an expected error is calculated.
When s = 0 the expected error in s due to discretization was ≈3 × 10−5 and when s = 0.1 the expected error was ≈3 × 10−3.
For Argos locations we only used the three most precise location classes, where the expected error is ±150 1000 m (Hays et al. 2001).
Firstly, the sample sizes are so large that the MSE is small in absolute terms for the UMVCUE also, and when the expected error is small it is tempting to take the estimate at face value.
Overall, the global mean errors were significantly lower than the expected error, which is 342/684, that is, 50%.
Overall, the mean errors produced, using all of the validation techniques, are significantly lower than the expected error, which is 171/342, that is, 50%.
As expected, error rates are lower when evaluating using clusters of phonetically similar responses.
The detailed sub-cluster tables to determine the best correlation, its strength, and expected error range are given in "Appendix A".
Sample size curves for a variety of desired CI widths and expected error rates are shown in Figure 1.
As expected, error rates are higher for datasets with high rates of sequence evolution as well as for those with shorter sequence length (Fig. 1).
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CEO of Professional Science Editing for Scientists @ prosciediting.com