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In our experiments, Q-Pilot wableble to identify the appropriate query category 70% of the time.
Twelve different queries belong to the worst query category, and ten different queries do to the best query category.
Query Category: the category of the query click-through, categorized by BrightCloud.
To run a query, the appropriate query category is chosen, e.g., MCL clusters or OrthoMCL clusters.
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It is somewhat surprisingly noted that EMD performed poorer than other dissimilarity measures in all query categories except "Eagle".
We computed a precision and recall pair to all query categories, which is commonly used as the retrieval performance measurement [33].
We note that the large image size of 98 304 pixels or so and the Euclidean ground distance may severely degrade the performance of EMD. Figure 4 Precision-recall curves for various dissimilarity measures on four query categories: (a) Eagle, (b) Cheetah, (c) Pyramids, and (d) Royal guards.
In Figure 4, we distinguished the bibliographic query categories from other categories.
After we did preassessment of the underreporting of chickenpox in 2007 (4 ), three additional query categories for daily investigation were created in ESSENCE.
NQ = Total Number of Queries in category.
Finally, we scale map queries for each category by total query volumes to reduce the effect of user growth trends.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com