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While support vector machines with the appropriate kernel is promising regarding producing decision from the well-behaved features, but often present a negative repercussion at modeling the large scale data and more especially, the ultra-large number of classes.
In modeling the large scale regional and national effects of disease, the pipe model may be adequate, if the most important driver of disease spread is local contact and transportation modeling serves only to allow the disease to make long distance jumps across the country.
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The proposed method achieves much more improvement on the ESP-Game dataset by comparing with a bit improvement on the Corel-5K dataset, demonstrating its effectiveness of modeling the large-scale dataset.
Nevertheless, we are not sure whether it is appropriate to model the largest scale as a big locked patch.
Here, we review efforts, developed over the last ~ 25 years, to model the large-scale 3D organization and dynamics of chromosomes or genomes quantitatively.
In my talk, I will describe recent efforts to model the large-scale distribution of galaxies with cosmological hydrodynamics simulations.
Dynamical networks consisting of nodes and edges are widely used to model the large-scale real systems coupled with interactive individuals [1 3].
In 1917, Einstein applied the general theory of relativity to model the large-scale structure of the universe.
One such product is the Fast-Track Magnetospheric Model (FTMM), which is a model of the large scale vector magnetospheric field and its induced counterpart.
Figure 3 shows the application of the SKM model to the large scale channel, cases LC-1 and LC-2, with dividing the channel into three panels.
Furthermore, the channel model includes the large scale fading and Rayleigh fading which follows the exponential distribution with parameter 1 and the power of white noise is −174 dBm/Hz.
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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