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Showing 1 - 20 results of 12,081 for search '(( ((algorithm both) OR (algorithm within)) function ) OR ( algorithm based function ))', query time: 0.87s Refine Results
  1. 1
    Comparison of different algorithms.

    Comparison of different algorithms. by Dawei Wang (471687)

    Published 2025
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  2. 2
    Multi-algorithm comparison figure.

    Multi-algorithm comparison figure. by Dawei Wang (471687)

    Published 2025
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  3. 3
    Results of proposed algorithms and algorithms in [9] for 18 instances.

    Results of proposed algorithms and algorithms in [9] for 18 instances. by Jin Zhang (53297)

    Published 2023
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  4. 4
    Procedure of the DCT-based EIT algorithm.

    Procedure of the DCT-based EIT algorithm. by Rongqing Chen (249906)

    Published 2023
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  5. 5
    Illustration of methods based on Green’s function first-passage algorithms.

    Illustration of methods based on Green’s function first-passage algorithms. by Jean Marc Tregan (15195173)

    Published 2023
    “…<p>Illustration of methods based on Green’s function first-passage algorithms.…”
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  6. 6
    Function graph and algorithm iterative graph.

    Function graph and algorithm iterative graph. by WanRu Zhao (18980374)

    Published 2024
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  7. 7
    Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy

    Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy by Yujin Wu (2901128)

    Published 2021
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  8. 8
    Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy

    Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy by Yujin Wu (2901128)

    Published 2021
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  9. 9
    Route for bays29 output by ABSQL algorithm.

    Route for bays29 output by ABSQL algorithm. by Jin Zhang (53297)

    Published 2023
    “…DSRABSQL builds upon the Q-learning (QL) algorithm. Considering its problems of slow convergence and low accuracy, four strategies within the QL framework are designed first: the weighting function-based reward matrix, the power function-based initial Q-table, a self-adaptive <i>ε-beam</i> search strategy, and a new Q-value update formula. …”
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  10. 10
    Simulation parameters for the QL, ABSQL and DSRABSQL algorithms.

    Simulation parameters for the QL, ABSQL and DSRABSQL algorithms. by Jin Zhang (53297)

    Published 2023
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  11. 11
    The optimal route of Berlin52 output by DSRABSQL algorithm.

    The optimal route of Berlin52 output by DSRABSQL algorithm. by Jin Zhang (53297)

    Published 2023
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  12. 12
    The optimal route of Tsp225 output by DSRABSQL algorithm.

    The optimal route of Tsp225 output by DSRABSQL algorithm. by Jin Zhang (53297)

    Published 2023
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  13. 13
    The optimal route of Berlin52 output by ABSQL algorithm.

    The optimal route of Berlin52 output by ABSQL algorithm. by Jin Zhang (53297)

    Published 2023
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  14. 14
    The optimal route of Tsp225 output by ABSQL algorithm.

    The optimal route of Tsp225 output by ABSQL algorithm. by Jin Zhang (53297)

    Published 2023
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  15. 15
    Boxplots obtained by testing rat575 for 20 times by each algorithm.

    Boxplots obtained by testing rat575 for 20 times by each algorithm. by Jin Zhang (53297)

    Published 2023
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  16. 16
    Boxplots obtained by testing ch150 for 50 times by each algorithm.

    Boxplots obtained by testing ch150 for 50 times by each algorithm. by Jin Zhang (53297)

    Published 2023
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  17. 17
    Table of relationships between algorithms and five strategies for two experimental groups.

    Table of relationships between algorithms and five strategies for two experimental groups. by Jin Zhang (53297)

    Published 2023
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  18. 18
    Boxplots obtained by testing fl1400 for 10 times by each algorithm.

    Boxplots obtained by testing fl1400 for 10 times by each algorithm. by Jin Zhang (53297)

    Published 2023
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  19. 19
    Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information.

    Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

    Published 2024
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  20. 20
    A Genetic Algorithm Approach for Compact Wave Function Representations in Spin-Adapted Bases

    A Genetic Algorithm Approach for Compact Wave Function Representations in Spin-Adapted Bases by Maru Song (22593561)

    Published 2025
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