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We found a precision error of 1 4% at the different Gruen regions (Bodén et al. 2004).
Reproducibility was assessed with respect to precision error (PE) and intraclass correlation coefficient (ICC).
Aiming at studying the impact of the precision error of the UE localization method, a precision error modeled as a Gaussian distribution has been introduced.
For the main categories cross-likelihood ratio test using GMMs gives 0.5% precision error followed by Euclidean distance having 1.0% precision error.
The results are precision error rates for the main categories and the subcategories.
(b) The precision error is increasing with more common names ( bin width = 2, 000 ).
To clarify the results we also use a precision error rate which is defined as.
Table 2 The average precision error rates for k-NN query for main and subcategories.
which leads to a precision error of 11.84% and an h-index error of 12.63%.
The resulting precision error is analysed and shown to be negligible.
While systematic errors are minimized with careful experimentation and the calibration operations, the precision error can be treated statistically.
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