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The three values reported in each cell correspond to CV = 0.15, 0.55, 0.75 (for constant CV models) and to VAR = 0.05, 0.1, 0.15 (for constant VAR models).
All of these CV models certainly should get support from physiological evidence of retinal and cortical visual processing.
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].
Also we change the DoG scales as incremental/decremental stepwise in each level, to capture the maximum output results as the levels of edge map, instead of multiplying the scale in each step, which is mainly used in the CV models.
We reasoned that the genes selected in all ten CV models represent a "core" set of genes showing consistent association with the disease.
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.
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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).
The Power Law volume estimates show an inverse linear relationship to that of the Cv model.
Instead of using the IMM estimator, a single CV model is utilized in the paper.
Fig. 1 Expanded Incremental total volume (IncT) model and Volume dependent (Cv) model with the control volume.
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