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In real-life situations, data is incomplete and law-enforcement agencies may not know which gang is involved.
However, the existing two-stage DEA models can be applied only to performance measurement systems characterized by positive input-intermediate-output data while, in real world situations, data can also take negative values.
This situation is however complicated by the fact that in many industrial design situations, data are both sparse and noisy, the fundamental understanding of the system is limited and time and resource constraints are stringent.
In many real world situations, data with multiple representations or views are frequently encountered, and most proposed algorithms for such learning situations require that all the multi-view data should be paired.
For remaining situations, data were analyzed with one-way ANOVA (using the Tukey post-hoc corrected tests) analyses with significance at a level of 0.05.
In outbreak situations, data on the spatial and temporal distribution of etiological agents are key to identification and control.
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The effects were weaker than those of gefitinib but were stronger than estrone in this situation (data not shown).
Frequently, in the context of big data, we have to face such a situation: data may be abundant but labels are scarce or expensive to obtain.
Active learning: In many real-world applications, we have to face such a situation: data may be abundant but labels are scarce or expensive to obtain.
We discuss the role of each actor in the process to document diverse uncertainties related to the model (i.e. contextual situation, data, structure), and the general applicability of the approach for different crop modelling frameworks.
In this situation, data in the bicluster cannot be represented by any mathematical model.
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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