Sentence examples for distribution of relevance from inspiring English sources

Thus the OM − OPE is used to encrypt the score, which could flatten the distribution of relevance score.

Here, the function in novel relevance score transformation hides the term-specific distribution of relevance score values, and it makes the scores of different terms indistinguishable.

While a small value of λ leads to a heterogeneous distribution of initial item relevance, a high value results in a narrow distribution of relevance and thus a narrow distribution of item degree.

The distributions of relevance derived from different strategies are displayed in Figure 1.

The varied distributions of relevance on the different datasets may be good evidence for which strategy is more proper for weighting relevance.

Observing the distributions of relevance on these datasets, as displayed by Figure 2, it can be found that the RSCP and log⁡ RPV vary as expected but the log⁡ RPV still suffers from low resolution.

A reproducible method and robust imaging protocol is crucial for serial imaging at baseline and during treatment in studies, and for these reasons, awareness of the biological variation in qualitative and quantitative 18F-fluoride uptake and tracer distribution is of relevance when interpreting data.

The frequency distribution of immunological relevance for all human genes assigned a name in HUGO shows a sharp decline from high to low immunological relevance, revealing distinct categories of immune and non-immune genes.

This extensive analysis of melanocortin 1 receptor tissue distribution may be of relevance not only for melanoma immunology, but also for research on the pathogenicity of inflammatory conditions in the skin and neurologic tissues.

However, although more studies are required to reveal the role of MC1R in the regulation of the immune response, this extensive analysis of MC1R tissue distribution may be of relevance not only for melanoma immunology but also dermatology, inflammation, and neuroimmunology.

A Monte Carlo model has been developed to support the design of the beam line in terms of particle transport efficiency, to optimize the transport parameters at the irradiation point in air and, furthermore, to predict beam parameters in order to deliver dose distributions of clinical relevance.