بدائل البحث:
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
selected using » collected using (توسيع البحث)
ii algorithm » _ algorithm (توسيع البحث), _ algorithms (توسيع البحث)
element ii » element _ (توسيع البحث), element g (توسيع البحث), element te (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
selected using » collected using (توسيع البحث)
ii algorithm » _ algorithm (توسيع البحث), _ algorithms (توسيع البحث)
element ii » element _ (توسيع البحث), element g (توسيع البحث), element te (توسيع البحث)
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Features selection using the Boruta algorithm.
منشور في 2025"…We identified the important features related to IA using the Boruta algorithm. Predictions were made using different machine learning (ML) (decision tree (DT), random forest (RF), support vector machines (SVMs), and logistic regression (LR)) models. …"
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Feature selection using Boruta algorithm.
منشور في 2025"…Feature selection was performed using the Boruta algorithm and model performance was evaluated by comparing accuracy, precision, recall, F1 score, MCC, Cohen’s Kappa and AUROC.…"
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Feature selection using the Boruta algorithm.
منشور في 2025"…We extracted baseline characteristics, laboratory parameters, and clinical outcomes. The Boruta algorithm was employed for feature selection to identify variables significantly associated with in-hospital mortality, and 16 machine learning models, including logistic regression, random forest, gradient boosting, and neural networks, were developed and compared using receiver operating characteristic (ROC) curves and area under the curve (AUC) analysis. …"
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Variable selection procedure using the Boruta algorithm.
منشور في 2025"…<p>Variable selection procedure using the Boruta algorithm.</p>…"
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Two simulated instances with <i>M</i> = 16.
منشور في 2025"…In contrast, the SBF algorithm adjusts the IRS elements using single-bit feedback. …"
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GA pseudo-code.
منشور في 2025"…GA is used to optimize the feature selection process to identify the key feature subsets that have the greatest impact on model performance. …"
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Table 2_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx
منشور في 2025"…These genes had an abundance of antioxidant responsive elements and abscisic acid responsive elements in their promoter region, suggesting their role in stress response. …"
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List of the time used by each algorithm.
منشور في 2024"…In this manner high quality and common samples are randomly selected for training the classifier. Finally, to solve the issue of concept drift, EDAC designs and implements an ensemble classifier that uses a self-feedback strategy to determine the initial weight of the classifier by adjusting the weight of the sub-classifier according to the performance on the arrived data chunks. …"
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