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It demonstrates that the accuracy of the pattern estimation is barely affected by the compression distortion.
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In block type pilot symbols, pattern channel estimation is based on different estimators like minimum mean square error (MMSE), Low-Rank Approximation, LS (least square) estimator and reduced-order ML (Maximum Likelihood) estimator.
The main difficulty in using such irregular (potentially chaotic) activity patterns for parameter estimation is the problem of proper alignment, which is aggravated by the nature of spikes in neuronal data.
However, due to the semi-orthogonal pilot pattern, SIC-based channel estimation is adopted, leading to a larger estimation error than the conventional one.
Accelerating the boosting detection can be considered as a key issue in pattern recognition, as much as motion estimation is considered for MPEG-4.
For the current request, the threshold estimation, similar change requests pattern, impact value estimation are calculated and then compared with the estimations that were made on pre-occurred services.
Crowd estimation is a notoriously unreliable field.
"Our estimation is the cholera outbreak might spread outside Juba".
Estimation is important.
What's more, the estimation of a hundred-plus features quickly leads to "estimation fatigue". Estimation is important.
Rather, estimation is a decision strategy.
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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