يعرض 1 - 20 نتائج من 10,118 نتيجة بحث عن '(((( implement learning algorithm ) OR ( element data algorithm ))) OR ( data using algorithm ))', وقت الاستعلام: 0.86s تنقيح النتائج
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    List of the time used by each algorithm. حسب JiaMing Gong (20427837)

    منشور في 2024
    "…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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    Types of machine learning algorithms. حسب Md. Merajul Islam (12646837)

    منشور في 2024
    "…Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.</p><p>Materials and methods</p><p>This study used the latest nationally representative cross-sectional Bangladesh demographic health survey (BDHS), 2017–18 data. …"
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    Comparison of different optimization algorithms. حسب Hang Zhao (143592)

    منشور في 2025
    الموضوعات: "…crayfish optimization algorithm…"
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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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    Spatial spectrum estimation for three algorithms. 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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    Data Sheet 1_Exploring immune-inflammation markers in psoriasis prediction using advanced machine learning algorithms.pdf حسب Li Yang (6520)

    منشور في 2025
    "…Subsequently, nine classification algorithms were developed using the processed training set, including random forest, neural networks, XGBoost, k-nearest neighbors, gradient boosting, logistic regression, naïve Bayes, AdaBoost, and SVMs. …"
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    Statistical results of various algorithms. حسب ZeSheng Lin (20501356)

    منشور في 2025
    "…<div><p>Data classification is an important research direction in machine learning. …"
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    The run time for each algorithm in seconds. حسب Edward Antonian (21453161)

    منشور في 2025
    "…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …"
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    DMTD algorithm. حسب Yunhu Huang (21402795)

    منشور في 2025
    "…On the basis of EITO<sub>E</sub>, we propose EITO<sub>P</sub> algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …"
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