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To achieve a nearly complete description of species composition and distribution this study used the importance value index - IVI [56].
To achieve a nearly complete description of species composition and distribution this study used the importance value index - IVI [ 56].
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This framework allowed the gorge plots to be assigned to pre-existing vegetation alliances or associations based on their compositional distance (calculated using the importance values for each species on each plot) from the cluster centroids (in the space of the Chord distance) of these alliances or associations.
We used the relative importance values from those seeds as the training set in k-nearest neighbor classification algorithm to assign the current set of FIA plots to those 29 clusters.
The 1-PASS consists of 16 items (1 = poor/never to 7 = excellent/always) that measure, for example, whether the interviewer effectively uses the importance ruler or values clarification strategy.
Since for some nodes, the number of found diverse paths is smaller than k, we cannot always calculate the total distance of k paths (would go to infinity), and thus the importance value is used instead.
From these models, the 20 most informative analytes were identified using the variable importance value.
In this section, we show that using different λ, the importance values generated by the k diverse paths algorithm can identify different potential regulatory pathways with different functions.
In previous studies, the importance value of each SNP assigned by the full model was used to rank the SNPs.
It uses the importance sampling algorithm to estimate likelihoods for set N e values.
In Table 3, we display the raw and rescaled part-worth utilities for each research use subaction, as well as the importance values for each subaction.
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