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The last step of the adaptation training procedure consists in a mximum a posteriori (MAP) [13] adaptation that further transforms the models already linearly adapted by CSMAPLR, modifying the estimation of the distributions having enough training samples, as explained in [32].
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Then, we modify the estimation criterion so that it can work for higher-order modulations.
Moreover, mode excitation factors at the bottom interface are not exactly equal to and will slightly modify the estimation of the mode amplitude at the source depth.
Even though the accuracy of coarse detection is relatively low, the subsequent step will modify the estimation result for the purpose of accurate detection.
Omitting from the PS model either the true confounder or the variable related to the outcome substantially modified the estimation of treatment effect.
It is possible to simplify the noise estimation by modifying the expression of the noise terms: (26).
Without complicating the estimation process and without modifying the clock of a node, this synchronization method becomes simpler and more energy-efficient than the traditional synchronization one-way method.
It is found that the method can be used also for the maximum in-plane response estimation by only modifying the pushover analysis procedure.
Therefore, we modified the methodology for estimation of AIDS orphans to account for these dynamics.
We developed this further and modified the sequencing depth estimation by assuming equivalent spike-in-molecules/cell in each experimental set.
The unbiased MMSE-based noise estimation of [19] modified the original MMSE-based estimator using the soft speech presence probability (SPP).
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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