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Suitability of the approach is shown by examples where underlying context-free grammars are successfully inferred.
The overall framework is implemented in a prototype system and the usefulness of the system is shown by examples.
It is shown by examples that such specific partitionings can be defined when reasonable assumptions or prior knowledge about the classifiers are incorporated into the problem domain.
It is shown by examples how the algorithm can also be applied to higher-dimensional systems with possibly more than one positive Lyapunov exponent.
That there is not a huge difference between them is shown by examples like the following: "Don't go in there", I say, "If you go in you will get hurt".
Without considering structural constraints of the model, it is easy to form unrealistic performance demands, and it is shown by examples how this can lead to a design with unnecessary poor robustness properties.
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Thus, our LMIs-based sufficient conditions are less conservative than those provided in [16], which is shown by Example 1 and Example 2 in Section 3.
As a special case when p ( t ) = 0, the established results improve those of [13, 36] in some sense, which is shown by Example 2.8.
Applications are shown by examples.
However, as could be shown by examples of the items that constitute these subscales, these subscales represent aspects of life that appear to be very specific to the schizophrenic persons' lives.
In addition, it is showed by example that the reset matrix, which is assumed to be zero in general, has significant effect on the damping ratio of the reset mode and thus can be adjusted to further improve the performance.
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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