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The analysis further shows that crossing entropy barriers is faster by orders of magnitude than fitness barrier crossing.
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Note that, f is chosen such that he cross entropy between f and f ω,q) is minimal.
The minimum cross entropy thresholding (MCET) has been widely applied in image thresholding.
A hybrid cross entropy algorithm (HCEA) is proposed to solve the 3E-LRPTWTBC.
Several typical choices for the training criterion (e.g., squared loss, cross entropy, etc).
We find that the rate of low-scale cross entropy can effectively identify flow patterns, and the high-scale cross entropy can represent their long-range dynamics.
The Cross Entropy optimisation method has been adapted here to address this calibration problem.
In addition, we also show that the bound of the classification error by the normalized cross entropy loss is empirically rather tight on the data sets we studied.
This new multilevel thresholding algorithm is called the firefly-based minimum cross entropy thresholding (FF-based MCET) algorithm.
In the present paper, the application of the Cross Entropy (CE) method to the ICFMO is described.
cross entropy.
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