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Later values for these parameters are refined to check their influence on path preference probability.
With new sets of measurements, the model parameters are refined and the operation condition is also updated until the parameters converge.
Model parameters are iteratively estimated using the expectation maximization (EM) algorithm [35], where the original parameters are refined to increase the likelihood of the estimated model for the observed feature vectors X, such that p ( X | λ ̄ ) ≥ p ( X | λ ).
With this method, detectors are evaluated by determining circumferential tracks, and digital images of scanning electron and optical microscopes are processed by using the Hough Transform; the resulting circumference parameters are refined using the Max Min clustering algorithm.
In order to evaluate the tightness of the obtained lower bounds, the latter are compared to the MSE results from the estimation algorithms described in [16], where maximum likelihood (ML) pilot-based estimates of the various channel parameters are refined using the expectation-maximization (EM) algorithm.
Within the laminar regime, we demonstrate convergence of the computed means to a time-independent solution as the numerical parameters are refined, decay of variance around the computed mean inversely proportional to the number of vortex elements, and accurate comparison of size and length of recirculation zones with experimental measurements as a function of Reynolds number.
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In the final stages of refinement, atomic displacement parameters were refined with TLS (Translation Libration Screw-rotation) parameTranslation Libration Screw-rotation
In the case of VI, these parameters were refined freely.
At the last cycle, all the parameters were refined simultaneously.
A unit cell of PGT was selected, and its lattice parameters were refined.
Data were processed using the Collect package and unit cell parameters were refined against all data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com