Sentence examples for uniform random sampling from inspiring English sources

Exact(44)

We employed systematic uniform random sampling, counting one in every seven grids.

Uniform random sampling of the steady-state flux space allows for the unbiased appraisal of its contents.

We performed systematic uniform random sampling within each section70 by overlying a grid (individual grid size 103 µm × 108 µm) onto a low magnification preview image of a cross section of spinal cord.

After delivery, microscopical fields on formalin-fixed, trichrome-stained histological sections of each placenta were obtained by multistage systematic uniform random sampling.

Similar to the quantifications for cell densities, we overlaid a grid (individual grids 68.5 µm × 69.0 µm) across a cross section of the spinal cord then used systematic uniform random sampling to image a Z-stack in one out of every nine 3 × 3 grid boxes at 630× magnification through its entire depth.

This algorithm consists of three steps: a uniform random sampling of solutions in the search space, the construction of the topograph, and the application of a local optimization algorithm using the topograph minima as starting points.

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ConcentricSampleDisk is a useful function for converting two 1D uniform random samples into a uniform random sample on a disk.

Given 0<=*mean*<=1, return the number of uniform random samples that were drawn before the sample was larger than the mean (always greater than 0).

The method consists of two steps: first, we generate asymptotically uniform random samples in a convex domain via Hit-and-Run method and then apply local descent procedure based on conditional gradient for a concave function treating samples as starting points.

In Figure 6 the selected parameter values S N pr for the primal and S N du for the dual problems, respectively, are shown; in each case Ξ train is a uniform random sample of size n train = 1, 000.

For the case that T=5, when r=1,000, the errors of EISE are about 1%, 2%, 0.1%, and 1% in the four data sets, where r denotes the number of uniform random samples.

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