بدائل البحث:
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (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)
forest using » forests using (توسيع البحث), rest using (توسيع البحث), test using (توسيع البحث)
element » elements (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (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)
forest using » forests using (توسيع البحث), rest using (توسيع البحث), test using (توسيع البحث)
element » elements (توسيع البحث)
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Improved random forest algorithm.
منشور في 2025"…Compared with MDA-RF, the prediction accuracy of the improved RF built on the same subset increased by 1.7%, indicating that improving the bootstrap sampling of random forest by using the K-means++ clustering algorithm can enhance model accuracy to some extent. …"
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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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Pseudocode for the missForestPredict algorithm.
منشور في 2025"…The algorithm iteratively imputes variables using random forests until a convergence criterion, unified for continuous and categorical variables, is met. …"
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The schematic diagram of the iForest algorithm.
منشور في 2025"…Subsampling and cross factor are designed and used to overcome the shortcomings of the isolated forest algorithm (iForest). …"
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TreeMap 2016 Forest Type Algorithm (Image Service)
منشور في 2024"…We used a random forests machine-learning algorithm to impute the forest plot data to a set of target rasters provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE: https://landfire.gov). …"
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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. …"