يعرض 301 - 320 نتائج من 6,979 نتيجة بحث عن '(( element method algorithm ) OR ((( data code algorithm ) OR ( data learning algorithm ))))', وقت الاستعلام: 0.44s تنقيح النتائج
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    The overview of the ML algorithms’ flowchart. حسب Yasemin Ayaz Atalan (21989402)

    منشور في 2025
    "…For this purpose, well-known Machine Learning (ML) algorithms such as Random Forest (RF), Adaptive Boosting (AB), and Gradient Boosting (GB) were utilized. …"
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    Data Sheet 1_Causal contextual bandits with one-shot data integration.pdf حسب Chandrasekar Subramanian (20393715)

    منشور في 2024
    "…We also show that the algorithm is sound; that is, as budget increases, the learned policy eventually converges to an optimal policy. …"
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    A new approach in soil organic carbon estimation using machine learning algorithms: a study in a tropical forest in Vietnam حسب Thuy Phuong Nguyen (11769999)

    منشور في 2024
    "…This study aimed to evaluate the ability of SOC estimation using a multiple linear regression model (MLR) and four machine learning algorithms: artificial neural networks (ANN), support vector machine (SVM), random forest (RF), and extreme gradient boosting (XGBoost) with satellite data sources and soil nutrient indicator data to find the optimal method. …"
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    Data Sheet 1_Clinical validation of an artificial intelligence algorithm for classifying tuberculosis and pulmonary findings in chest radiographs.pdf حسب Thiago Fellipe Ortiz de Camargo (19460818)

    منشور في 2025
    "…Artificial Intelligence (AI) algorithms could be of great help, but using real-world data is crucial to ensure their effectiveness in diverse healthcare settings. …"
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    Data Sheet 1_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.docx حسب Jingjing Chen (293564)

    منشور في 2025
    "…Functional enrichment analyses delineated the dysregulation of pathways, while weighted gene co-expression network analysis identified hub genes within ribosome biogenesis-associated modules. A multi-algorithm machine learning framework was employed to optimize predictive performance, with model interpretability achieved through SHapley Additive exPlanations and diagnostic accuracy validated by receiver operating characteristic curves. …"
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