Sentence examples for cv model from inspiring English sources

Exact(52)

When the NOT gate is replaced by a YES gate, that is, a device with an opposite logic behaviour, with the same Hill function parameters as the TetR/Ptet-based NOT gate (see Table 1), results do not change significantly when compared to the NOT gate: η OUT is the most variable (CV of 14.2%) in the constant CV model condition, while k OUT has the highest CV (9.3%) in the constant VAR model.

We use the fitted non-AOD model to predict the AOD site-days and found an adjusted R of 0.67 (CV R = 0.66) and a negative bias of 11% in CV model predictions.

In the CV model that corrected for age, BMI, and hospital service, but not for hypoglycemia, however, CV remained significantly associated with increased 90-day mortality, which rose by 14% with each 10 percentage point increment in CV of glucose (RR 1.14 [1.01–1.29], P = 0.037).

Nike is not the only multinational to use the CV model.

The "CV" model allows Nike Innovate to avoid paying local taxes in the Netherlands.

The CV model describes the color pixels as cubical voxels.

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Similar(8)

In CV, models were fitted 1,000 times with randomly sampled 95% of the data at each round and evaluated against the remaining 5%.

3) and modelling this multilayer representation has a significant power in revealing the underlying structure of the percept in computer vision (CV) models [55, 56, 57, 58, 59] such as edges, shades, some textures and even some preliminary cues about the depth information, according to some neurocomputational eye models such as [60, 61].

For the GDSC dataset, we obtained lower mean RMSEtest and higher Rtest values, namely 0.75 ± 0.01 and 0.74 ± 0.01 pGI50 units, respectively, with the 10-fold CV models compared with Menden et al.

Models derived from the literature that were applied a priori were only weak predictors of erosion rate, but AIC-CV model selection identified 3 strong statistical models.

In that way, we have considered a set of 23 complexes comprising biotin and urea derivatives with synthetic hosts to develop a Partial Least Squares Cross-Validated (PLS-CV) model.

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