بدائل البحث:
selection algorithm » detection algorithm (توسيع البحث), detection algorithms (توسيع البحث)
order selection » under selection (توسيع البحث), model selection (توسيع البحث), wide selection (توسيع البحث)
multiple order » multiple hornet (توسيع البحث), multiple organ (توسيع البحث), multiple cores (توسيع البحث)
selection algorithm » detection algorithm (توسيع البحث), detection algorithms (توسيع البحث)
order selection » under selection (توسيع البحث), model selection (توسيع البحث), wide selection (توسيع البحث)
multiple order » multiple hornet (توسيع البحث), multiple organ (توسيع البحث), multiple cores (توسيع البحث)
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1
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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2
IRBMO vs. feature selection algorithm boxplot.
منشور في 2025"…To address this problem, this paper proposes an improved red-billed blue magpie algorithm (IRBMO), which is specifically optimized for the feature selection task, and significantly improves the performance and efficiency of the algorithm on medical data by introducing multiple innovative behavioral strategies. …"
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3
The Pseudo-Code of the IRBMO Algorithm.
منشور في 2025"…To address this problem, this paper proposes an improved red-billed blue magpie algorithm (IRBMO), which is specifically optimized for the feature selection task, and significantly improves the performance and efficiency of the algorithm on medical data by introducing multiple innovative behavioral strategies. …"
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IRBMO vs. meta-heuristic algorithms boxplot.
منشور في 2025"…To address this problem, this paper proposes an improved red-billed blue magpie algorithm (IRBMO), which is specifically optimized for the feature selection task, and significantly improves the performance and efficiency of the algorithm on medical data by introducing multiple innovative behavioral strategies. …"
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<i>FS</i> index of KNN on the selected feature subset.
منشور في 2024"…Compared with KNN, the classification effect of the feature subset selected by the IG-GPSO is still optimal. In addition, the results of multiple comparison tests show that the feature selection effect of the IG-GPSO is significantly better than that of traditional feature selection algorithms.…"
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8
<i>ACC</i> index of KNN on the selected feature subset.
منشور في 2024"…Compared with KNN, the classification effect of the feature subset selected by the IG-GPSO is still optimal. In addition, the results of multiple comparison tests show that the feature selection effect of the IG-GPSO is significantly better than that of traditional feature selection algorithms.…"
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9
<i>FS</i> index of SVM on the selected feature subset.
منشور في 2024"…Compared with KNN, the classification effect of the feature subset selected by the IG-GPSO is still optimal. In addition, the results of multiple comparison tests show that the feature selection effect of the IG-GPSO is significantly better than that of traditional feature selection algorithms.…"
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10
<i>ACC</i> index of SVM on the selected feature subset.
منشور في 2024"…Compared with KNN, the classification effect of the feature subset selected by the IG-GPSO is still optimal. In addition, the results of multiple comparison tests show that the feature selection effect of the IG-GPSO is significantly better than that of traditional feature selection algorithms.…"
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11
I-NSGA-II-RF algorithm.
منشور في 2023"…The integrated information initialization population of two filtered feature selection methods is used to optimize the I-NSGA-II algorithm, using multiple chromosome hybrid coding to synchronously select features and optimize model parameters. …"
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12
The pareto front obtained by each algorithm.
منشور في 2023"…The integrated information initialization population of two filtered feature selection methods is used to optimize the I-NSGA-II algorithm, using multiple chromosome hybrid coding to synchronously select features and optimize model parameters. …"
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Risk stratification and molecular markers.
منشور في 2025"…Designing a laboratory algorithm following an increasing order of complexity provided a reliable molecular testing platform that reduces the requirement for NGS screening. …"
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15
Comparison of Order Splitting.
منشور في 2025"…An improved NSGA-II algorithm has been designed, which enhances the search capability and solution diversity by introducing new selection mechanisms and crossover mutation strategies. …"
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Comparison of predictive power.
منشور في 2023"…These candidate models are then ranked by predictive power, which is assessed via multiple hold-out procedures and can be parallelised in order to reduce the computational time. …"
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19
Comparison of predictive power.
منشور في 2023"…These candidate models are then ranked by predictive power, which is assessed via multiple hold-out procedures and can be parallelised in order to reduce the computational time. …"
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20
Comparisons of predictive power.
منشور في 2023"…These candidate models are then ranked by predictive power, which is assessed via multiple hold-out procedures and can be parallelised in order to reduce the computational time. …"