Sentence examples for parameters to be distributed from inspiring English sources

Exact(1)

Of course, every player in the market aims to build chips that enable neural network parameters to be distributed across a large number of chips at high-efficiency.

Similar(59)

Since boiling is essentially a random phenomenon, for each nucleation site and between nucleation sites, there was a distribution of the parameters; however, we observed that the parameters tend to be distributed narrowly about their mean for a given nucleation site (greater detail is given in the "Appendix").

These parameters need to be distributed by a trusted party or the smart meters, and the utilities have to agree upon these parameters, e.g., through Diffie-Hellman key exchange [27].

Because some reliability parameters are likely to be distributed, the cost function to be minimized turns out to be a random variable.

We represent this cost by the parameter ϵ, assumed to be distributed uniformly across vacancies on the interval 0 to Rϵ, independent of the discrimination coefficient c, which is also assumed to be distributed uniformly across potential vacancies.

Two model alternatives for the rate of concentration change of species x are given by where we assume the four kinetic parameters as well as the system parameters a and b to be distributed diag(η E)), the initial condition as.

Most parameters were a priori assumed to be distributed according to N 0, 10), which corresponds to essentially flat priors over their plausible range (Additional file 2).

However, given that susceptibility and infectivity are indirect genetic effects, estimation of genetic parameters also requires related individuals to be distributed across different epidemiological groups (Muir 2005; Anche et al. 2014).

In a compressed image, these parameters are embedded in the image data, but if a decompressed version of the irreversible compressed image is to be distributed, all parameters must be provided alongside the image.

The default one is the Gaussian model, which assumes the parameters to be normally distributed up to a transformation and which can include either a linear or a nonlinear covariate model.

[4] We assumed model input parameters to be log-normally distributed, and because of data gaps, we assigned Cƒs using professional judgment.

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