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In particular, tables report gender, race, and age estimation correctness for all the descriptors and over all the three experimental conditions (frontal-close images I FC, rotated-close images I RC, frontal-far images I FF).
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Indeed, confidence measures, which correspond to a self-estimation of the correctness of each word hypothesis by the ASR system, are not fully reliable.
And it is not about political correctness.
Poor record keeping with respect to the symptoms recorded or any missing information may lead to an under-estimation of the diagnostic correctness and the referral appropriateness.
The location of measurement points not only decides the correctness of the estimation, it also affects the control performance.
To see more clearly the correctness of motion estimation, we use Beanbags sequence as an example.
Fig. 1 An overview of to what degree different estimation approaches rely on the correctness of a model and probability sampling.
Thus, symbols and faces were equivalent indicators of correctness of time estimation.
We performed two different kinds of tests on simulated data to verify the correctness of our estimation program.
The experimental results confirmed the correctness of the accuracy estimation model for ZY-3 images.
In the time estimation task, participants were correct on about half of the trials for face feedback (48.50%) and sign feedback (47.43%) as would be expected by applying the adaptive criterion for correctness of performance (see Section 2).
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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