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A better approach would be to construct a system that can automatically learn the optimal representation.
D'Arcy sought to understand living and natural forms through geometry, number and the optimal representation of physical forces: a theory that is, in the words of Stephen Jay Gould, "a strange hybrid of Pythagoras and Newton".
Cartographers, whose role has traditionally been the optimal representation of geographic data, now face an additional role of providing the means for responsible and advantageous interaction.
DL differs from conventional machine learning methods by virtue of its ability to learn the optimal representation from the raw data through consecutive nonlinear transformations, achieving increasingly higher levels of abstraction and complexity.
The conditional averages for positive strains are compared with calculated data from two different canonical strained laminar configurations to determine which is the optimal representation of a laminar flame structure embedded in a turbulent flame: the reactant-to-product (R-to-P) configuration or the symmetric twin flame configuration.
Then, they proposed a learning approach to search for the optimal representation.
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It is worthy to mention that the above equations are the result of a survey that concurrently covers all the practical ranges of the operating parameters, which can be easily understood to be the global optimal representation of the performance of the cycle.
Both the techniques provide an optimal representation of the geomagnetic field over the area of investigation, which is an improvement on the International Geomagnetic Reference Field (IGRF-11).
Both these models provide an optimal representation of the geomagnetic field in the considered region compared with the International Geomagnetic Reference Field model (IGRF-11) and can be used as reference models to reduce magnetic surveys undertaken in the area during the time of validity of the model, or to extrapolate the field till 2012.
We propose, in particular, the first optimal representations for 3-connected planar graphs and triangulations, which are the most standard classes of graphs underlying meshes with spherical topology.
One of the significant discoveries in these studies revolves around the finding that if an optimal representation of a signal is sufficiently sparse when linearly represented with respect to a dictionary of base elements, it can be computed by convex optimization [38].
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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