يعرض 1 - 20 نتائج من 10,636 نتيجة بحث عن '(( elements method algorithm ) OR ((( data using algorithm ) OR ( forest using algorithm ))))', وقت الاستعلام: 0.52s تنقيح النتائج
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    Feature selection using Boruta algorithm. حسب Shayla Naznin (13014015)

    منشور في 2025
    "…</p><p>Methods</p><p>Multiple machine learning (ML) algorithms were applied to data from the 2022 Bangladesh Demographic Health Survey, including Random Forest, Decision Tree, K-Nearest Neighbors, Logistic Regression, Support Vector Machine, XGBoost, LightGBM and Neural Networks. …"
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    Feature selection using the Boruta algorithm. حسب Guang Tu (22054865)

    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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    Improved random forest algorithm. حسب Zhen Zhao (159931)

    منشور في 2025
    "…Subsequently, the feature factors corresponding to the model with the highest accuracy were selected as the optimal feature subsets and used in the model construction as input data. Additionally, considering the imbalanced in population spatial distribution, we used the K-means ++ clustering algorithm to cluster the optimal feature subset, and we used the bootstrap sampling method to extract the same amount of data from each cluster and fuse it with the training subset to build an improved random forest model. …"
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    The schematic diagram of the iForest algorithm. حسب Zhibo Xie (6790775)

    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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    Decision tree algorithms. حسب Mahbub E. Sobhani (22278967)

    منشور في 2025
    "…We have used Random Forest, Bagging, and Boosting (AdaBoost) algorithms and have compared their performances. …"
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    Pseudocode for the missForestPredict algorithm. حسب Elena Albu (15181070)

    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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    TreeMap 2016 Forest Type Algorithm (Image Service) حسب U.S. Forest Service (17476914)

    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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    Algorithmic experimental parameter design. حسب Chuanxi Xing (20141665)

    منشور في 2024
    "…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …"
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    TreeMap 2016 Forest Type Name Algorithm (Image Service) حسب U.S. Forest Service (17476914)

    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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    TreeMap 2016 Stand Size Code Algorithm (Image Service) حسب U.S. Forest Service (17476914)

    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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    Data used in this study. حسب Qinghua Li (398885)

    منشور في 2024
    الموضوعات: "…heuristic optimisation algorithms…"
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