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Showing 1 - 20 results of 2,599 for search 'different learning algorithm', query time: 0.15s Refine Results
  1. 1

    Performance of different machine learning algorithms. by Apichat Suratanee (634281)

    Published 2024
    “…<p>Performance of different machine learning algorithms.</p>…”
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    The performance matrix of different machine learning algorithms. by Ahmad M. Al-Omari (20460931)

    Published 2024
    “…<p>The performance matrix of different machine learning algorithms.</p>…”
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    ROC curve comparison for different machine learning algorithms. by Shaik Ahamed Fayaz (19859670)

    Published 2024
    “…<p>ROC curve comparison for different machine learning algorithms.</p>…”
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    Evaluation of pre-treatment models using different machine learning algorithms. by Yiran Li (1818355)

    Published 2025
    “…<p>Evaluation of pre-treatment models using different machine learning algorithms.</p>…”
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    Evaluation of post-treatment models using different machine learning algorithms. by Yiran Li (1818355)

    Published 2025
    “…<p>Evaluation of post-treatment models using different machine learning algorithms.</p>…”
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    Iteration curves of different algorithms. by Tengfei Ma (597633)

    Published 2025
    “…<div><p>To address the limitations of the Zebra Optimization Algorithm (ZOA), including insufficient late-stage optimization search capability, susceptibility to local optima, slow convergence, and inadequate exploration, this paper proposes an enhanced Zebra Optimization Algorithm integrating opposition-based learning and a dynamic elite-pooling strategy (OP-ZOA: Opposition-Based Learning Dynamic Elite-Pooling Zebra Optimization Algorithm). he proposed search algorithm employs a good point set-elite opposition-based learning mechanism to initialize the population, enhancing diversity and facilitating escape from local optima. …”
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    Completion times for different algorithms. by Jianbin Zheng (587000)

    Published 2025
    “…This paper first analyzes the H-beam processing flow and appropriately simplifies it, develops a reinforcement learning environment for multi-agent scheduling, and applies the rMAPPO algorithm to make scheduling decisions. …”
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