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In the following, we compare the performance of AISM with the performance of this optimized MH using the optimal scale parameter σ∗=3, in order to show the capability of the non-parametric adaptation employed in AISM, with respect to a standard adaptation procedure [10].
Note the MH is using the optimal scale value σ∗=3 for the (Gaussian) parametric proposal density.
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For the phylogenetic GLS analyses, branch lengths were first scaled using the optimal value of Pagel's λ parameter [51] as calculated using the GEIGER R package [52].
Using the optimal cut-offs of the rating scales, the suicide victims were clustered, having high ratings in both scales.
Then, stretch using the optimal.
The results demonstrate that topographic effects on growth and biomass production of cover crops are most pronounced at certain spatial scales, and topographic model predictions will be most accurate when used at the optimal scales.
Appendix B presents the method used to find the optimal scale factor K, and then the optimal value of all the other refined parameters.
One of the merits to use the Gabor pyramid is the optimal scale correspondence, which provides us the best trade-off between spatial resolution and frequency resolution.
Before each algorithm's execution, we determined the optimal scale vector using the genetic approach.
Our GGA algorithm uses the expansion operator progressively but attempts to realize the optimal scale of revealing the intrinsic relationship among proteins.
The optimal scale for geometric structure of PPI network is determined by the probability based algorithm.
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