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This process can be integrated in different phases depending on existing validation methods.
Considering both uncertainty and correlation, existing validation metrics either ignore correlations among responses or have a relatively huge computational cost.
In this section I only discuss the existing validation software, and the scientific papers for which there is an implementation available (and thus ignore purely theoretical solutions).
Compared with the existing validation metrics, the feasibility, effectiveness and efficiency of our proposed two metrics are illustrated by a numerical test example and an engineering example.
Analysis of the agreement among the global land cover maps and existing validation information highlights general patterns of agreement, inconsistencies and uncertainties.
We adapted existing validation methodologies and uncertainty analyses to account for multi-specific, multi-annual and diverse outputs, focusing on missing input data, incomplete and imprecise weed time series.
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We also used multiple metrics of performance assessment compared to existing validations studies.
In this section, we describe our concept of internal clustering validation and how they are realized for existing internal validation measures.
A comparison with existing cluster validation software libraries, mainly in terms of the mentioned features, is also offered.
Existing trace validation tools all require the trace to be accessible sequentially from start to finish, which in general entails that the trace must be reconstructed and saved in a single location prior to analysis.
Given the growing amount of collected trace data and the observed move towards distributed computing infrastructures, it is crucial that existing trace validation methodologies be ported to the cloud paradigm.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com