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An intuitive UI can streamline rule development for KEs through the use of well-defined templates for managing metadata and defining rule logic (e.g., risk group, overdue conditions, physicians' coded responses, and message) in a way that separates the user interface from the underlying knowledge representation needed for rule execution.
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Deep learning methods are representation-learning methods that allows a machine to be fed with raw data and to automatically discover the representations needed for regression or classification.
Deep learning methods are representation learning methods [20], which allow a machine to be fed with raw data and to automatically learn the representations needed for classification.
Representation learning is a set of methods that allow a machine to be given with raw data and to automatically discover the representations needed for detection or classification [1].
This suggests that, for lexicologists, a more detailed account of lexical representation is needed for the SFL account of lexical relations to be more robust and usable in other approaches.
Where a unique representation is needed for any point, it is usual to limit r to non-negative numbers (r ≥ 0) and ϕ to the interval [0, 360°) or (−180°, 180°] (in radians, [0, 2π) or. One must also choose a unique azimuth for the pole, e.g., ϕ = 0.
Full-length sequences and better representation is needed for resolution of the position of this subclade.
Multiple structural representations are needed for a comprehensive assessment of the diversity of compound libraries.
Multiple representations are needed, for such purposes as showing motions or conveying both the chain connectivity and the three-dimensional shape simultaneously.
Accurate and rapid access to the phonemes in phonological representations seems needed for such an efficient process.
There are two principal reasons why low-dimensional feature representation needs to be performed for face recognition.
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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