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We use this distribution for user navigation on Digg [2].
The choice of distribution of G k, p i remains open and we just use this distribution to show some examples under a micro-cell with shadowing effects.
We use this distribution, combined with the rate stories are promoted, to relate the number of votes a story has to its position on the popularity list, providing a functional form for p popularity ( v ).
We derive in closed form the joint a priori distribution of the parameters to be estimated and use this distribution to derive an approximately maximum a posteriori (MAP) estimate and an approximation of the LMMSE estimate.
We use this distribution of column density to obtain a synthesis of the hard X-ray background without free parameters and that is in good agreement with the observational data.
We present a method to estimate a multivariate Gaussian distribution of diffusion tensor features in a set of brain regions based on a small sample of healthy individuals, and use this distribution to identify imaging abnormalities in subjects with mild traumatic brain injury.
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Then, we used this distribution factor to distribute public expenditures allocated to administrative activities at the national level.
We used this distribution as a reference.
Thus, by using this distribution an inaudible watermark is created.
"You should be using this distribution channel to show them content, not just a pointer to some other space".
By using this distribution, we generate (2^{n_{4}R^{(4)}}phantom {dot {i}!}) sequences, with each element i.i.d.i.d
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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