Exact(3)
This sampler is of the globally adaptive type and can estimate the covariance structure efficiently.
The starting point for this sampler is the MME given by equation (23).
This sampler is about 2.1 times as efficient as the MH algorithm proposed by Meuwissen et al. [ 4] and 1.7 times as efficient as that proposed by Habier et al. [ 6].
Similar(56)
This sample is obviously not scientific.
This sample is still sticky: too much glycerine.
This sample is far too small to detect a problem that might be small but growing.
This sample is on display in the entrance to the General Assembly Building.
This sample is identified as pristine ZrP.
[audio:https://beta.techcrunch.com/wp-content/uploads/2009/10/podcast.mp3] The audio quality, as evidenced by this sample, is fairly good.
Sample: (d) t = 40; this sample is sputtered in two steps.
This sample is thin, but the differences are revealing.
Write better and faster with AI suggestions while staying true to your unique style.
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