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Exact(9)
In its basic formulation, thresholding searches for a global value that maximizes the separation between output classes.
The proposed method of a classifier design maximizes the separation margin similarly as the support vector machine.
It is found that choosing configurations that maximizes the separation between the open-end of the PIFAs reduces the mutual coupling.
The optimal hyperplane maximizes the separation margin between the two classes of training data, and is defined by a fraction of the input data instances (called support vectors) close to the hyperplane.
The optimal hyperplane maximizes the separation margin between the two classes of training data, and is defined by a fraction of the input data instances (the so-called support vectors) close to the hyperplane.
In DWD, instead of adjusting the data based on the direction of maximal variation (as is done in SVD), data is adjusted according to the direction that maximizes the separation between two batches.
Similar(50)
Maximizing the separation between the genuine and impostor scores.
The width of the distribution is determined by a search to maximize the separation performance.
The optimal projection is found by maximizing the separation between two classes.
MSP transforms the feature space of data to maximize the separation between target and background signals.
The proposed method weighs each feature in terms of its capability to maximize the separation between class means.
More suggestions(15)
augments the separation
leverages the separation
enhances the separation
deepens the separation
maximizes the energy
maximizes the number
maximizes the Π2-theory
maximizes the ease
maximizes the coding
maximizes the price
maximizes the variety
maximizes the efficiency
maximizes the capacity
maximizes the space
maximizes the likelihood
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com