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Therefore, it can be concluded that the proposed algorithm is appropriate for solving large and medium problems.
The perceptron algorithm is appropriate for the 2-class problem and for classes that are linearly separable.
The numerical and experimental results demonstrate the proposed damage identification algorithm is appropriate for damage identification of plate-like structures with high estimation accuracy and resolution.
A challenging open question in music classification is which music representation (i.e., audio features) and which machine learning algorithm is appropriate for a specific music classification task.
Especially, for input images of small size, such as human face and license plate images, the proposed SR algorithm is appropriate for real-time visual surveillance applications considering the processing speed and the visual quality of the reconstructed image.
Despite the existence of many well-performing music classification methods, it is still unclear which music representation (i.e., audio features) and which machine learning algorithm is appropriate for a specific music classification task.
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The model and the algorithm are appropriate for large-scale, dynamic, Distributed Problem Solver systems, in which agents try to increase the benefits of the whole system.
Although exact algorithms are appropriate for instances with small size, they are not often suitable for real instances owing to the computational time required to obtain an optimal solution.
In particular, we were interested in discovering whether such "whole molecule" algorithms are appropriate for mutagenicity prediction, or whether this is better done using simple alerts based on toxicophores.
However, this algorithm is appropriate only for traversing curves without intersections and produces models with high complexity, although improvements of the main algorithm have also been considered up to date [19].
Moreover, we compare the 2D SLIM algorithm with spectral projected gradient for l 1-norm minimization (SPGL1) algorithm which is appropriate for large-scale sparse recovery problems and complex-valued data [31].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com