Exact(2)
Stochastic mapping performance was higher than that of maximum parsimony in all 20 replications.
Nevertheless, stochastic mapping performance was still significantly higher than maximum parsimony.
Similar(58)
Post mapping performance is represented by and.
Our results indicate that stochastic mapping performance is highly dependent on reliable branch length estimation.
However, the emerging conclusion is that in all but one case, stochastic mapping performance is significantly higher.
The impact on mapping performance is, however, dependent on the algorithm and can, therefore, differ substantially depending on the method used [ 45, 46].
These map performances were particularly strong relative to the accuracy of the equation used for estimating ACD from canopy height (Additional file 1: Figure S5).
In a series of experiments, similarity measures were used to predict the mapping, and the performance was evaluated by comparing the predictions with the gold mappings.
In addition, the choice of using maps to evaluate performance was primarily motivated by relative ease of segmentation.
Moreover, the question arises of whether the relationships established between different types of indicators for mapping research performance are a special feature of BuSs in German-speaking countries or whether this can also be transferred to other academic disciplines in Germany and/or to other countries.
2D map subjects' way-finding performance was superior to that of 3D map subjects.
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