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Showing 41 - 60 results of 11,171 for search '(( ((algorithm python) OR (algorithm within)) function ) OR ( algorithm based function ))*', query time: 1.77s Refine Results
  1. 41
    Sensitivity analysis of the TV-BayesOpt algorithm performance at tracking a periodic temporal drift when the period of the drift is offset from the covariance function period anticipated by the TV-BayesOpt algorithm.

    Sensitivity analysis of the TV-BayesOpt algorithm performance at tracking a periodic temporal drift when the period of the drift is offset from the covariance function period antic... by John E. Fleming (8533956)

    Published 2023
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  2. 42
    Parameter sets of the chosen algorithms.

    Parameter sets of the chosen algorithms. by WanRu Zhao (18980374)

    Published 2024
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  3. 43
    The flow chart of IERWHO algorithm.

    The flow chart of IERWHO algorithm. by WanRu Zhao (18980374)

    Published 2024
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  4. 44
    The flow chart of WHO algorithm.

    The flow chart of WHO algorithm. by WanRu Zhao (18980374)

    Published 2024
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  5. 45
    Average running time line graph of different algorithms.

    Average running time line graph of different algorithms. by Wuyi Li (2984439)

    Published 2024
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  6. 46
    <i>S</i><sub><i>c</i></sub> and rank of DSRABSQL and VDWOA algorithms in <i>G</i><sub><i>1</i></sub>.

    <i>S</i><sub><i>c</i></sub> and rank of DSRABSQL and VDWOA algorithms in <i>G</i><sub><i>1</i></sub>. by Jin Zhang (53297)

    Published 2023
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  7. 47
    <i>S</i><sub><i>c</i></sub> and rank of DSRABSQL and VDWOA algorithm in <i>G</i><sub><i>2</i></sub>.

    <i>S</i><sub><i>c</i></sub> and rank of DSRABSQL and VDWOA algorithm in <i>G</i><sub><i>2</i></sub>. by Jin Zhang (53297)

    Published 2023
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  8. 48
    Example of an application of functional safety-critical energy optimization reallocation tasks.

    Example of an application of functional safety-critical energy optimization reallocation tasks. by Zhiqun Lin (1429501)

    Published 2023
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  9. 49
    Adaptive H-REMD simulation algorithm.

    Adaptive H-REMD simulation algorithm. by Danial Pourjafar-Dehkordi (7165523)

    Published 2021
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  10. 50
    <i>min</i>, <i>avg</i>, <i>max</i> and <i>S</i><sub><i>td</i></sub> for rat575 obtained by three algorithms.

    <i>min</i>, <i>avg</i>, <i>max</i> and <i>S</i><sub><i>td</i></sub> for rat575 obtained by three algorithms. by Jin Zhang (53297)

    Published 2023
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  11. 51
    <i>min</i>, <i>avg</i>, <i>max</i> and <i>S</i><sub><i>td</i></sub> of ch150 obtained by three algorithms.

    <i>min</i>, <i>avg</i>, <i>max</i> and <i>S</i><sub><i>td</i></sub> of ch150 obtained by three algorithms. by Jin Zhang (53297)

    Published 2023
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  12. 52
    <i>min</i>, <i>avg</i>, <i>max</i> and <i>S</i><sub><i>td</i></sub> of fl1400 obtained by three algorithms.

    <i>min</i>, <i>avg</i>, <i>max</i> and <i>S</i><sub><i>td</i></sub> of fl1400 obtained by three algorithms. by Jin Zhang (53297)

    Published 2023
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  13. 53
    Experiment 1b: Evaluating modularity-based consensus clustering pipelines on the algorithm design datasets as a function of the mixing parameter.

    Experiment 1b: Evaluating modularity-based consensus clustering pipelines on the algorithm design datasets as a function of the mixing parameter. by Yasamin Tabatabaee (18095491)

    Published 2025
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  14. 54
    Biological Function Assignment across Taxonomic Levels in Mass-Spectrometry-Based Metaproteomics via a Modified Expectation Maximization Algorithm

    Biological Function Assignment across Taxonomic Levels in Mass-Spectrometry-Based Metaproteomics via a Modified Expectation Maximization Algorithm by Gelio Alves (51850)

    Published 2025
    “…To overcome this limitation, we implemented an expectation-maximization (EM) algorithm, along with a biological function database, within the MiCId workflow. …”
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  15. 55
    The convergence curves of all the 10 algorithms.

    The convergence curves of all the 10 algorithms. by WanRu Zhao (18980374)

    Published 2024
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  16. 56
    The phase-field function for three different network configurations considered in this work.

    The phase-field function for three different network configurations considered in this work. by Martina Bukač (20161460)

    Published 2024
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  17. 57
    GD and soft loss function (Loss<sub>S</sub>) parameters are optimized through the hyperparameter tuning process within their search spaces.

    GD and soft loss function (Loss<sub>S</sub>) parameters are optimized through the hyperparameter tuning process within their search spaces. by Burcu Ozek (16949357)

    Published 2024
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  18. 58
    Final solutions of a string problem for multiple algorithms runs.

    Final solutions of a string problem for multiple algorithms runs. by Pavel Kodytek (10140509)

    Published 2024
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  19. 59
    Frequency of frameshift mutations in tumor suppressor genes within TCGA and DFCI cohorts.

    Frequency of frameshift mutations in tumor suppressor genes within TCGA and DFCI cohorts. by Alexis M. Thornton (11068403)

    Published 2021
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  20. 60
    The evaluation index data of bench images processed by various denoising algorithms.

    The evaluation index data of bench images processed by various denoising algorithms. by Wuyi Li (2984439)

    Published 2024
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