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To be useful, a model needs to be specific, representing only legal examples of the modeled object.
In general, testing a model needs more sample sizes and stress levels than estimating model parameters.
The raw images need to be analyzed and a model needs to be created from them.
To achieve good diagnostic performance such a model needs to be accurate, which also is costly.
In case a model needs to be developed for some specific industry, some variables may be deleted and/or added.
Second, a model needs to be developed, describing a rational relation between the measure and the implementation effort.
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Expressions for the dressings A model need to be provided (see Sections 4.3 and 5.1).
A model need not be a case of TF in order to be nested in a case of TF.
To summarise, all the components of a model need to be unambiguously identified in a perennial and standard way.
How good does a model need to be able to recapitulate data to be considered worthy of publication?
Training a CNN model needs a very large number of annotated images to learn millions of parameters [32, 33].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com