To measure correctness, we compute Smod, the ratio of the number of correctly aligned positions to the number of aligned columns in the evaluated alignment where at least one of each two aligned columns is present in the reference alignment.
And the RM component was scored according to performance on standard memory tests after the completion of PM tasks rather than by an on-line evaluation which required directly measuring the correctness of the content of intentions.
This important evaluation cannot be done when the actual node mapping is not known and was thus not carried out in Clark and Kalita [ 31], despite the fact that measuring node correctness is the most appropriate way of evaluating a network aligner's accuracy [ 5– 7, 25, 30] before applying the aligner to networks of different species to learn new biological knowledge.
We measure correctness by checking whether data items recorded in the EMR are consistent with the corresponding items in the DSCA dataset with regard to the indicator definitions, i.e. whether they have the same effect on the indicator results.
This paper presents a mathematical ontology evaluation technique to measure the correctness of domain ontologies engineered using concept maps.
Meanwhile, the crt index measures the correctness of the segmented image produced.
The kernel correlation based on Hue Saturation Value (HSV) color histograms is used to estimate the observation likelihood and measure the correctness of particles, since HSV decouples the intensity (value) from color (hue and saturation) and corresponds more naturally to human perception [38].
To evaluate the quality of our sampling-based estimators, we measured their correctness and convergence rate.
Thus, our methodology measured the correctness of the facts present within these MODs, but did not assess whether the MODs extracted all facts from each publication, or whether the contents of a MOD reflect the most current state of knowledge.
The third row presents the performance when we trained a disambiguation system with the sense inventory built by the clustering method (automatic) and measured the correctness of disambiguation results on the sense clusters built manually (gold-standard).
It is also possible to optimize for accurate scaffolds if, for example, EST data or the sequence of a close relative species can be used to measure the correctness of scaffolding.
