Sentence examples for based on random distributions from inspiring English sources

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With source descriptions based on random distributions of input modal powers and modal phase, numerical experimentation has revealed that statistical metrics of lining performance can be generated.

This resulted in remarkable evolvability in both number and length of attractors, leading to evolved networks far beyond the expectation of these measures based on random distributions.

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Developers with mailing addresses in the US will receive either a Droid or Nexus one, based on random distribution.

Using the 12 Drosophila genomes and detailed phylogeny information available, we identify pairs of paralogs whose divergence is significantly more asymmetric than one would expect based on random distribution of substitutions across paralogous clades.

The results are compared with a theoretical prediction based on random distribution of fibres.

It means that the method for D2D users to reuse cellular wireless resources based on random distribution is effective.

The crux is, EM technique is considering foreground and background pixels based on random distribution of pixels' intensity level for making clusters.

First, it is normalized relative to expected counts based on random distribution of A-tracts.

The presumed EMS-induced mutations were detected in single plants, except for DMT102 G878A, where the exact same mutation was found in two different plants; this circumstance is expected and observed to occur 4% of the time in Arabidopsis based on random distribution of induced mutations, GC content of the genome and distribution of location of mutations discovered in fragments [ 17].

To ensure data privacy, the mechanism involves intelligent authentication based on random distributive key management, electronic certificate distribution, and modified realm Kerberos.

This method takes into account the distribution of the random effects and that of the residuals present in the model, and it generates simulated output data based on random sampling from these distributions, using the same sample sizes as in the original model.

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