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The MMSE estimator involves highly nonlinear numerical evaluations, like the Q-function, which are computation demanding and costly for implementation.
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One of the reasons for this could be the difficulty in calculations, which are computation-intensive and require adjustment of many parameters [33].
The image auto-focusing algorithm in [11] applied the hill-climbing search method to find the best focus, which is computation expensive.
Specifically, compared to the wavelet-based method [7, 8], which is computation expensive in decomposing the image into different frequency bands and computation of transform, the proposed image definition measure based on fuzzy entropy is more efficient and applicable in practical image measurement system.
Use of the Bayesian procedures proposed here nonetheless has several potential drawbacks, foremost among which is computation time: Although our modified slice sampler (DF.MCMC; Appendix A) makes MCMC sampling of both diplotypes and effects feasible, it is highly computationally intensive.
However, except BWs, all the other methods are based on geodesic distance computation, which is computational expensive.
Moreover, most of the above methods are based on probabilistic models, which are typically very computation intensive.
Two of these techniques use random sampling strategies [ 14], which are based upon computation of the topological distance between leaves in the source tree.
Particular emphasis lies on artificial computation models, which are derived from natural systems that perform computation.
computation, which are referred to as domains.
The domains implement models of computation, which are summarized in chapter 1.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com