Sentence examples for whereas minimizing from inspiring English sources

According to learning theory [ 26], minimizing 1 n w T (X T P X ) w corresponds to empirical risk minimization, whereas minimizing the objective in Eq. (10) corresponds to structural risk minimization that improves the generalizability of the resultant model.

In the context of information transmission, fixing the average firing rate is equivalent to fixing the enclosed area, whereas minimizing noise entropy is equivalent to minimizing the circumference in the case of minimal surfaces.

La is found to stabilize the bulk phase transformation of γ-Al2O3 whereas Co minimizes the formation of irreducible bulk nickel aluminate.

This means that whereas Ti minimized the mechanical work (0.188 J· kg·m)−1 on the textured surface) compared to Al2 (0.219 J· kg·m)−1 on the textured surface), such differences are statistically nonsignificant and strong conclusions on WN-WPM could not be drawn.

Main conclusions are that for wind turbines location policy would seem most effective for minimizing impact, whereas for business parks and barns a lot can be achieved by design and especially mitigation.

One implant type may thus succeed by minimizing interface motion, whereas the other may succeed by minimizing interface abrasion.

In this sensor, the wide bandwidth THz antenna absorbing the electromagnetic field is directly coupled to the bolometer for maximum energy collection, whereas its design aims at minimizing its thermal mass as is necessary for fast frame rates.

Future wireless devices can be designed minimizing unhealthy effects whereas novel RF-based diagnostic and treatment devices for neurodegenerative diseases can be envisaged (in-body micro and nano-sensors and non-invasive techniques).

That is, a large Ne facilitates adaptation by minimizing genetic drift, whereas a small Ne increases genetic drift, which can hinder adaptation (Crow and Kimura 1970).

This method is based on principal components analysis and the resulting correction is specific to a candidate marker's variation in frequency across ancestral populations, minimizing spurious associations whereas maximizing power to detect true associations.

We have seen that majority operators are characterized by trying to minimize the total dissatisfaction, whereas the arbitration operators aim at minimizing the local dissatisfaction.