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It implements the standard non-parametric bootstrap and also the so-called rapid bootstrap (Stamatakis et al., 2008), which is a standard bootstrap search that relies on algorithmic shortcuts and approximations to speed up the search process.
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LINE internally utilize fluid limits approximation to speed up the solving process for large models.
In this paper we focus on system level design, proposing an extensive comparison of the state-of-the-art of MOEA approaches with an approach based on fuzzy approximation to speed up the evaluation of a candidate system configuration.
Since Selman and Kautz's seminal work on the use of Horn approximation to speed up the querying of knowledge bases, there has been great interest in Boolean approximation for AI applications.
The Gaussian approximation can be used to speed up the search for good parameters.
We also revisited techniques to speed up the risk estimation through approximations.
Analytical approximations, such as the variational or Laplace approximations, e.g. Bishop (2006), could be used to speed up the computations and, based on our experiments with the current method, are worth doing in the future.
DoG is an approximation of Laplacian of Gaussian (LoG) intending to speed up the computation, and the latter was used to detect edges in images.
Since the approximation stated in Equation 8 is one of the several key ideas in this article to speed up the current estimation of N e, it is essential to evaluate how good the approximation is.
Now, in addition to speed, the other key criterion for an approximation algorithm is its approximation error.
In order to speed up the process, an approximation is used based on the assumption of no conjugate point.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com