Sentence examples for models for degree from inspiring English sources

Accuracies for multiple kernel (MK) (five regions per chromosome), linear kernel (Lin), and Gaussian kernel (Gaus) models for degree days to silking and the importance scores from the MK model are displayed in Figure 7 and Figure 8.

Fig. 6 Difference of the radial vector component at the Earth's surface between the DLFI and the MF7 models for degrees 16 80 (top).

Regression analysis and analysis of variance (ANOVA) has also been performed to develop a mathematical model for degree of sphericity evolution of primary α-Al phase and to find the significance and percentage contribution of each process variable towards the final outcome of degree of sphericity, respectively.

Not all students study at the same rate--and some have already acquired a range of knowledge and skills--so competency-based education offers an "each to their own" model for degree completion.

Recently it was shown that a null model for degree distributions of food webs based on MaxEnt could not be rejected as a null model for 57% of the food web degree distributions studied [29].

An earlier null model for degree distributions in mutualistic networks suggested that species' degree (number of species it interacts with) is a function of its frequency of interaction [11].

The data underwent the same kind of selection and correction described above (see also Maus et al., 2010, this issue) but from which a lithospheric field model for degrees 14 to 40 was further removed.

For this experiment, only models for damage degree 3 and 4 were developed.

The accumulated error in SV is found to be less than 0.2 nT/yr for all times within model domain for degree n = 2 20, and thus, easily meets both the threshold and target values specified in Table 3. Fig. 3.

From these results we retained N = 2400 in most of the computations of the present paper, for models of degree 16.

The expected results from these data are; (1) drastic reduction in far-side gravity error, (2) estimation of many gravity coefficients by the observation, not by a priori information, and (3) one order of magnitude improvement over existing gravity models for low-degree field.