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We minimize energy function J W,b) to decrease the difference between the output z and the true label y over all the training samples.
The REMC method enables us to minimize energy function to a lower level and thus possibly produce better decoys.
In this work, we employ a REMC method (Earl and Deem, 2005; Swendsen and Wang, 1986) to minimize energy function.
Previously we employ a SA algorithm to minimize energy function, based upon the algorithm proposed by Aarts and Korst (1991).
By using REMC, we can minimize energy function to lower values and thus produce better decoys for most of our test proteins.
This CNF method is also better than our previous CRF method in that (i) this method can easily model non-linear relationship between protein sequence and structure; and (ii) we can also minimize energy function to lower values.
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Then, the new location of contour points is found by minimizing energy function.
The present paper is designed to take advantage of mean value theorem rather than minimizing energy function for contours.
Global stereo methods mainly focus on minimizing energy functions efficiently to improve performance.
Widely‐used de novo approaches to structure prediction usually rely on exploration of protein conformational space by utilizing existing knowledge (such as database of fragments), and evaluation of candidate solutions by minimizing energy functions [ 45, 48]‐ [ 52].
Treatment is focused on the creation of a functional, well-padded residual limb at the most distal level possible to minimize energy expenditure and maximize function [2].
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