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The ( varepsilon - ) insensitive loss function can be visualized as a tube that surrounds the training data with a radius equal to ( varepsilon ).
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Alignment procedure itself can be visualized as a series of insert, delete operations.
A large number of plots can be generated using the methodology and bicoherence can be visualized as a function of a number of different variables over the bifrequency plane, with time and with channels.
Preferences can be visualized as a function with a mating response on the y-axis and ornament values that contribute to attractiveness on the x-axis.
For the one-dimensional example the kernel can be visualized as a two-dimensional scalar function (w r,r')).
The matrix can be visualized as a heat map.
The strains can be visualized as a color-coded map.
Riemann's formulation can be visualized as a landscape extending off in all directions.
The structure of DNA can be visualized as a spiral staircase.
The screw compressor can be visualized as a development of the gear pump.
It can be visualized as a 3D matrix of values called weights (W).
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