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In order to derive a bound on BER, one can note that function tends rapidly to zero for negative arguments.
To avoid this, we minimized a bound on the leave-one-out error with a Quasi-Newton algorithm [45, 46].
We proceed by first showing that if we consider a bound on the relative variance, ψ, around one, we automatically fulfil the stability conditions for a certain range.
A bound like (14.6) implies a.e. in (dlambda ) a bound on (frac{dnu (lambda )}{dlambda }).
We consider two approaches: one based on Fisherian statistical testing, and another estimating a bound on the probability of a neural response.
A bound on the direction (d_{k}).
A bound on the steps (s_{k}).
where and is a bound on.
where, is a bound on, is a bound on for provides a bound on Further, in view of (3.5), we have (3.17).
where ϵ > 0 is a bound on the noisy level.
In particular, a bound on the position errors is found in terms of a bound on the bearing errors.
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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