Sentence examples for optimally representing from inspiring English sources

Next, the number of topics optimally representing the information across all of the treatment conditions was determined using the information loss and maximum likelihood approach in a space of the number of topics between 10 and 50.

Third, different SNP sets were generated: 35,000 technically reliable, 10,000 anchored to the M. truncatula physical map, 1,350 mapped on the pea genetic map, 1,538 polymorphic across a collection of modern pea cultivars, 297 optimally representing differentiation between these cultivars.

On the other hand, at the end of the optimization, the cell locations in the atlas should optimally represent all image voxels.

This, together with measures taken during sample preparation, ensures that the retrieved information optimally represents the actual situation in the sample.

The aim of the tailoring process is to generate few scenarios that can optimally represent the spectrum of climate scenarios.

Rather than the spherical harmonics, the spherical slepian functions can be employed to produce the locally and globally orthogonal bases to optimally represent the data in any arbitrary region up to a given degree.

Each such mode may be viable as representing an architectural object just in case some features of the object are adequately, accurately, regularly, and optimally represented through the mode.

Figure 5 presented the parameters of a uniform electrojet current between two latitudinal boundaries which AFM found to optimally represent the perturbations measured by the Polaris array on November 8, 2007.

A figure of merit analysis (not shown) indicated that the individuals with ASDs were optimally represented by 4 subgroups.

This theory is based on the observation that each visual neuron in the extrastriate cortex seems to be able to optimally represent only one object at a time.

If any these conditions are violated, sum-scores no longer optimally represent the latent trait, and the use of sum-scores may decrease the power to detect genetic variants for that trait, compared to more advanced phenotypic models, such as latent factor models.