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Showing 1 - 20 results of 5,160 for search '(((( algorithm wise function ) OR ( algorithm value function ))) OR ( algorithm fc function ))*', query time: 0.63s Refine Results
  1. 1
    RMSE values of different algorithms for different bands in the "Kherson" region.

    RMSE values of different algorithms for different bands in the "Kherson" region. by YueSheng Jiang (19267984)

    Published 2024
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  2. 2
    RMSE values of different algorithms for different bands in the "PY" region.

    RMSE values of different algorithms for different bands in the "PY" region. by YueSheng Jiang (19267984)

    Published 2024
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  3. 3
    Similarity between the allegiance matrices of the multiplex SC-FC graph, the FC graph alone, and the SC graph alone, as a function of the topological scale for the group.

    Similarity between the allegiance matrices of the multiplex SC-FC graph, the FC graph alone, and the SC graph alone, as a function of the topological scale for the group. by Arian Ashourvan (6685232)

    Published 2019
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  4. 4
    Mutations of the gene expression fold change (FC) over wildtype.

    Mutations of the gene expression fold change (FC) over wildtype. by Fangzhou Shen (5140994)

    Published 2019
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  5. 5
    The real NGD values, one-step ahead training set predictions, and multi-step ahead test set predictions using the AI-AFTER algorithm for Kayseri.

    The real NGD values, one-step ahead training set predictions, and multi-step ahead test set predictions using the AI-AFTER algorithm for Kayseri. by Burak Alakent (463512)

    Published 2025
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  6. 6
    Illustration of the unrestricted model and its training algorithm.

    Illustration of the unrestricted model and its training algorithm. by Yuru Song (21300760)

    Published 2025
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  7. 7
    Significantly dysregulated proteins (|log2FC | ≤  0.5, adj. p-value ≤  0.05) in SCA1 (805 proteins).

    Significantly dysregulated proteins (|log2FC | ≤  0.5, adj. p-value ≤  0.05) in SCA1 (805 proteins). by Aimilia-Christina Vagiona (17584758)

    Published 2025
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  8. 8
    Similarity between the hierarchical community structure of structural and functional brain graphs.

    Similarity between the hierarchical community structure of structural and functional brain graphs. by Arian Ashourvan (6685232)

    Published 2019
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  9. 9
    Local topological scales of hierarchical community organization in structural and functional brain graphs.

    Local topological scales of hierarchical community organization in structural and functional brain graphs. by Arian Ashourvan (6685232)

    Published 2019
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  10. 10
    Average mean values by algorithms on benchmark functions.

    Average mean values by algorithms on benchmark functions. by Muhammad Zubair Rehman (11243478)

    Published 2021
    “…<p>Average mean values by algorithms on benchmark functions.</p>…”
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  11. 11
    Binary leaf image rotated anti-clock wise from the origin degree to 40<sup><i>o</i></sup>, 80<sup><i>o</i></sup>, 120<sup><i>o</i></sup>, and 160<sup><i>o</i></sup> from left to right respectively to verify rotation invariance with their corresponding curve-fitted data.

    Binary leaf image rotated anti-clock wise from the origin degree to 40<sup><i>o</i></sup>, 80<sup><i>o</i></sup>, 120<sup><i>o</i></sup>, and 160<sup><i>o</i></sup> from left to ri... by Ali Ahmed (2567584)

    Published 2020
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  12. 12
    Comparison between different PSO algorithms on function 4–6.

    Comparison between different PSO algorithms on function 4–6. by Lai Xu (1828831)

    Published 2019
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  13. 13
    Comparison between different PSO algorithms on function 1–3.

    Comparison between different PSO algorithms on function 1–3. by Lai Xu (1828831)

    Published 2019
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  14. 14
    Comparison between different PSO algorithms on function 7–8.

    Comparison between different PSO algorithms on function 7–8. by Lai Xu (1828831)

    Published 2019
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  15. 15
    Distribution of objective function values solved by three algorithms.

    Distribution of objective function values solved by three algorithms. by Meilin Zhu (688698)

    Published 2025
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  16. 16
    Objective function values of different algorithms on individual problem instances.

    Objective function values of different algorithms on individual problem instances. by Panfei Li (22379086)

    Published 2025
    “…<p>Objective function values of different algorithms on individual problem instances.…”
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  17. 17
    Loss function values of target detection algorithms during training.

    Loss function values of target detection algorithms during training. by Guodong Su (7876934)

    Published 2024
    “…<p>Loss function values of target detection algorithms during training.…”
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  18. 18
    Sensor value scenario for average value algorithm.

    Sensor value scenario for average value algorithm. by Gourab Saha (8987405)

    Published 2025
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  19. 19
    Initialization parameter values for the comparison algorithms.

    Initialization parameter values for the comparison algorithms. by Muhammad Zubair Rehman (11243478)

    Published 2021
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  20. 20
    Predictions from a Universal Value Function Approximator (UVFA) algorithm.

    Predictions from a Universal Value Function Approximator (UVFA) algorithm. by Sam Hall-McMaster (10343795)

    Published 2025
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