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It is true that globally, the set of local simple models represent a complex model for intensity distribution modeling.
The emission model for intensity data are a bivariate Gaussian distribution.
We implemented two different emission models, a discrete model for genotype call data, and a continuous model for intensity data.
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Our emission model for intensities is heavily parameterized as a bivariate normal mixture model over 36 diplotype states at each marker locus.
Semantic models for intensity of belief and use of gamification as a strategy allow novel aspects of influence to be taken into account as well.
Table 3 summarizes the results of the regression models for intensities VII X using Eq. 3.
Only the damage-related scenarios given in Guettiche et al. (2017) were considered for testing the loss models for intensities VII X.
In this study, an optimization algorithm of a numerical model for luminous intensity distribution of planar LED luminaires was developed to find optimized prism angles.
The crack interaction factor is obtained using a recently developed model for stress intensity factors for an array of coplanar penny shaped cracks in a homogeneous material; also the material dissimilarity function recently obtained for non-interacting penny shaped crack at the interface between two dissimilar materials is employed.
As we have no model for the intensity of fragment peaks, I v) cannot be used for estimating the probability of fragment peaks.
The model for harvest intensity was as follows (Pukkala 2015): {p}_{mathrm{remove}}=1/left(1+ exp left({mathrm{a}}_1left({mathrm{a}}_2hbox dright)right)right) (2).
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