Sentence examples for prior accuracy from inspiring English sources

This expands the scope of prior accuracy studies, for example those that have concentrated on comparing a final printed model with the posthumous anatomy used to provide source DICOM images [30, 31], or those that have compared physical measurements to those made with 3D post-processing software in the source images [6, 26, 27].

We did two prior accuracy estimations.

In order to make this prior accuracy analogous to the prior accuracy used in the synthetic analysis, only half of the off-diagonal links were evaluated.

If the sparsity level is known (green boxes) then the GSP-generated results showed a larger improvement if the prior accuracy is 90 or 100%.

However, our testing on a yeast dataset indicates that the prior accuracy can be much lower and still result in a small improvement over most sparsity levels.

Figure 1 shows the levels of prior accuracy that resulted in improved GRN inference for datasets generated by GNW and GSP.

In order to make these prior accuracies analogous to our synthetic prior accuracies, we did not count both directions of symmetrical links.

Figure 2 shows the improvement over all sparsity levels for these two types of generated datasets using these prior accuracies.

Since we estimate the prior accuracies of FunCoup and STRING to be well below the 70% threshold for our yeast analysis, it seems unlikely that these priors reflect enough causal information for clear improvement over most sparsity levels.

Although point estimation via the GEM algorithm produced accuracies of GEBV that were inferior to accuracies from point estimation by MCMC for the single prior specifications, accuracy for GEM estimation was improved by combining GEBV across prior specifications to almost the same level as MCMC results.

In many other prior diagnostic accuracy studies segments <1.5 mm as well as non-diagnostic vessels were excluded from the analysis, thereby increasing the reported diagnostic accuracy.