Sentence examples for model of additive from inspiring English sources

Exact(9)

Recent studies indicate that a classical model of additive noise is not adequate enough for images formed by modern multichannel sensors operating in visible and infrared bands.

Makers exemplify the collaborative model of additive innovation by seeking and offering inspiration in their community, sharing and learning recipes with others, iterating on their own designs, and sharing artifacts of their designs back with the community to inspire others (Jordan and Lande 2015).

As mentioned above, accounting for the effect of the C2/CFB locus significantly improved the fit of a logistic regression model of additive effects of CFH and LOC387715 variants.

To illustrate the advantages of using RIL in a joint scaling context, we used seven generation means to estimate a model of additive

The model of additive risk contributions is clearly unsupported.

For QTL mapping, we explored fitting a model of additive effects of each homolog.

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The simple model of additive-dominance was sufficiently detected through the absence of nonalellic interaction.

The trait under selection was assumed to be normally-distributed and genetically controlled by the infinitesimal model of additive-genetic effects.

The matrix approximation method is conceptually similar to the Tukey's median polish procedure [60], except that QMA uses multiplicative model instead of additive model, division in place of subtraction, arbitrary quantile points instead of fixed medians, and performs one iteration only rather than continuing until convergence or pre-defined number of iteration steps.

The quantile-based matrix approximation (QMA) is an efficient rank-one matrix approximation method, which is conceptually similar to the Tukey's median polish procedure, except that QMA uses multiplicative model instead of additive model and quantiles instead of medians [ 31].

The paper focuses on the tools, based on the holistic modelling of additive and subtractive approaches, which could be used to identify the production route allowing the lowest energy demand or CO2 emissions.

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