يعرض 1 - 20 نتائج من 6,883 نتيجة بحث عن '(( element data algorithm ) OR ((( query processing algorithm ) OR ( from modeling algorithm ))))', وقت الاستعلام: 0.49s تنقيح النتائج
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    The run time for each algorithm in seconds. حسب Edward Antonian (21453161)

    منشور في 2025
    "…These methods are tested on both real and synthetic data, with the former taken from a network of air quality monitoring stations across California. …"
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    Number of tweets collected per query and type. حسب Sylvia Iasulaitis (8301189)

    منشور في 2025
    "…Python algorithms were developed to model each primary collection type. …"
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    On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization حسب Jiancong Xiao (22265935)

    منشور في 2025
    "…However, we argue that the predominant approach for aligning LLMs with human preferences through a reward model—reinforcement learning from human feedback (RLHF)—suffers from an inherent algorithmic bias due to its Kullback–Leibler-based regularization in optimization. …"
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    City driving speed query results. حسب Meilin Zhu (688698)

    منشور في 2025
    "…Based on this, this paper takes the joint distribution network of agricultural products as the research object. Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …"
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    Data for Figs 3–9. حسب Xiaogang Li (299205)

    منشور في 2024
    "…In addition, the genetic algorithm is used to quickly achieve the broadband absorption for the two-layer case. …"
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    Supplementary file 1_3D colored point cloud classification of a deep-sea cold-water coral and sponge habitat using geometric features and machine learning algorithms.docx حسب Salem Morsy (10840104)

    منشور في 2025
    "…Three unsupervised (k-means (KM), fuzzy c-means (FCM), and Gaussian mixture model (GMM)) and three supervised (decision tree (DT), random forest (RF), and linear discriminant analysis (LDA)) machine learning (ML) algorithms were compared and assessed for accuracy and reliability. …"