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The cross-validation method was proven to be effective in detecting the best generalization point and stopping the training process before the model shifted to over-learning.
Another generalization point is that the sample-by-sample sum of the scalar coefficient sequences of all the driving terms is not necessarily unity but it converges asymptotically to unity.
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The NBSR methods are a generalization of point relaxation methods frequently used towards solution of elliptic partial differential equations.
Such optimal approximate solutions are called best proximity points of the mapping T. Interestingly, best proximity theorems also serve as a natural generalization of fixed point theorems, for a best proximity point becomes a fixed point if the mapping under consideration is a self-mapping.
Moreover, it is interesting to observe that best proximity theorems also appear as a natural generalization of fixed point theorems, for a best proximity point reduces to a fixed point if the mapping under consideration is a self-mapping.
In 2012, Sedghi et al. [32] introduced the concept of an S-metric space, a modification of (D^ -metric anD^ -metric spands, and gave a generalization of fixed point theorems in S-metric spaces, but the best proximity point results in S-metric spaces still remain open.
In 2011, Haghi, Rezapour and Shahzad proved that some fixed point generalizations are not real generalizations [9].
Here, I introduce a generalization of horizontal point sampling (GHPS).
The generalization of this point is that the intrinsic properties of the fundamental objects of physics must be epiphenomenal.
For more details as regards a fixed point generalization of multi-valued mappings we refer to [14].
Generalization of wilting point is very essential for analyzing the hydrological performance of green infrastructures (e.g. green roofs, biofiltration systems) and ecological infrastructures (wetlands).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com