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The majority of existing methods are order reduction based techniques, which come with an information loss of the initial system, whereas the method proposed here avoids this particular loss.
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The methods are ordered according to accuracy and the corresponding %VE ± SD are provided between brackets.
Furthermore, in doubtful cases, higher costs and irradiation exposure may arise if other unnecessary diagnostic imaging methods are ordered.
Ignoring the results on NRSF, the conservation-based methods were orders of magnitude better, though the absolute ROC-50 scores were still very low.
It is heartening to note that the prediction approaches have improved in performance over the years (the methods were ordered chronologically in the years in which they were published).
The method is order dependent, because the randomly selected molecules are dependent on the order of the molecules entering the component.
According to Tian's study [29] and our testing, although the clustering method is order dependent, the order dependency of the cluster molecules component did not have obvious effect on the clustering results.
Computational results indicated that GPU-accelerated SIMT ES PS method was orders of magnitude faster than the corresponding CPU implementation.
The DISE method is order-dependent and can be used to enrich fragments with properties of interest in the first clusters.
When stored filter coefficients are used, this method is orders of magnitude faster than the Mertz method, while still keeping the photometric error within acceptable levels.
With the same number of optical sources and detectors, the proposed method is orders of magnitude less ill-conditioned.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com