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Fig. 4 Jackknife of regularized training gain for Adinandra griffithii.
From the combination of these, the goal is to learn the kernel mapping of the instances and the kernelized prediction model as to minimize the regularized training losses in both domains.
Jackknifing of the regularized training gain and the analysis of variable contributions reveal a strong influence of vegetation phenology on the distribution of potential habitats of A. griffithii (Fig. 4).
The ecological validity of this difference is also confirmed by the decrease in regularized training gain if "precipitation warmest quarter" is omitted from the model of A. occidentalis sp.n.
We provide an efficient, regularized training algorithm that finds a sparse interpretable solution that directly identifies cancer-related genes.
The Maxent model was fitted using the default settings, and then it was evaluated using the AUC of the ROC curve and the "regularized training gain".
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We provide an efficient L1-regularized discriminative training algorithm, which notably selects a small set of candidate genes most likely to be clinically relevant and driving the recurrent amplicons of importance.
We compensated for the limit in tree depth, by training regularized logistic regression models in the leave nodes.
HumanNet contains 21 different data sources, which are combined into one integrated network using a regularized regression scheme trained on GO pathways.
Consider a constrained optimization problem of quadratic programing with a regularized cost function, the training process of LS-SVM involves the selection of kernel parameters and the regularization parameter of the objective function.
For training, a regularized back propagation algorithm was used.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com