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We determined parameter ϕ as the one minimized the average r-ratios of the known SpA-causative genes.
The prediction was performed with the tuning parameter, λ, that minimized the average cross-validation error (cvm).
In this way, the best value of ϕ was determined as 10-4, which minimized the average r-ratios of known OMIM disease genes for SpA.
We used 10-fold cross-validation to identify the value of the regularization parameter that minimized the average mean-squared error on this held-out test set.
AnGST event penalties were first determined by David and Alm (2011) using an approach that selected the combination of penalties that minimized the average change in genome size between ancestor and descendant within the species tree (genome flux).
To confirm each supervised comparison, we used 10-fold cross validation to identify the set of genes/miRs/proteins that minimized the average mean-squared error on each testing set.
Similar(50)
For example, the expected value (EV) method [9 11] and the expected residual minimization (ERM) method [12 14] focused on minimizing the average or the average of expected residual.
This is achieved by minimizing the average cost function of the local minimizers subjected to pairwise synchronization constraints.
Obviously, minimizing the average distance error would not necessarily lead to minimization of the localization error.
inputs to minimize the average operational costs.
Specifically, we consider minimizing the average flow completion time.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com