Sentence examples for raw model from inspiring English sources

Exact(15)

Furthermore, the expected skill of one model versus another has not been established using uniform validation procedures, which may cause a difference in the true probability distribution from that taken verbatim from the raw model predictions.

In effect, we tested whether the spatially averaged model output was better at predicting species distributions than the raw model output.

The first methodology (hereafter 'distribution method') fits a distribution to the raw model data for both ensembles and estimates the percentage change in the distribution characteristics for individual regions by applying the contributions to GMST from Skeie et al. (Supplementary Table 1 in ref. 8).

The best predictive performance was achieved by SPA-LS-SVM (Raw) model using 22 EWs, and the prediction results were Rp = 0.9962 and RMSEP = 0.0339 for the prediction set.

Additional analysis indicates that downscaling methods that are trained on the annual cycle of precipitation produce less-biased estimates of the annual cycle of regional precipitation than raw model output, and also show some skill at reconstructing interannual variations in regional precipitation.

What do G-Star Raw, model Amber Valletta, Standing Rock founder Ladonna Brave Bull Allard and the MIT Media Lab, have in common?

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Similar(45)

Patients' raw models are input into the intelligent system developed by our previously published study to perform patient-specific design as per clinical requirements [16].

When asked if he uses pre-designed models (raw models like cars or TVs), the 25-year-old is pretty up-front about doing so.

Spot intensities less than 1000 (a conservative threshold for image sensitivity) were not considered in MSR calculation for the spline and raw models (see figure 5).

Once it was realized that the logistic equation was an accurate model for characterizing yeast cell proliferation, it became evident that it should be more robust than the spline or raw models to data sparseness because its parameters are more constrained.

According to the raw models, intramuscular E2, T, and DHEA, but not DHT, were significantly associated with muscle strength and power, explaining 36 39% of the variation in knee extension strength (Table 2) and 37 45% of the variation in vertical jumping height (Table 3).

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