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Showing 121 - 140 results of 12,434 for search '(((( algorithm pre function ) OR ( algorithm 1 function ))) OR ( algorithm python function ))*', query time: 1.23s Refine Results
  1. 121
    Restoration process via Algorithm 1.

    Restoration process via Algorithm 1. by Dilber Uzun Ozsahin (18320075)

    Published 2024
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  2. 122
    Restoration process via Algorithm 1.

    Restoration process via Algorithm 1. by Dilber Uzun Ozsahin (18320075)

    Published 2024
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  3. 123
    Restoration process via Algorithm 1.

    Restoration process via Algorithm 1. by Dilber Uzun Ozsahin (18320075)

    Published 2024
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  4. 124
    Definitions of global parameters used for constructing random ecosystems.

    Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

    Published 2020
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  5. 125
    Convergence curves of multimodal functions <i>f</i><sub>7</sub>.

    Convergence curves of multimodal functions <i>f</i><sub>7</sub>. by Yu Li (183836)

    Published 2021
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  6. 126
    Convergence curves of unimodal functions <i>f</i><sub>2</sub>.

    Convergence curves of unimodal functions <i>f</i><sub>2</sub>. by Yu Li (183836)

    Published 2021
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  7. 127
    Convergence curves of unimodal functions <i>f</i><sub>2</sub>.

    Convergence curves of unimodal functions <i>f</i><sub>2</sub>. by Yu Li (183836)

    Published 2021
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  8. 128
    Convergence curves of multimodal functions <i>f</i><sub>7</sub>.

    Convergence curves of multimodal functions <i>f</i><sub>7</sub>. by Yu Li (183836)

    Published 2021
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  9. 129
    Hist-8000 sequence similarity scores are closer to the ground truth than the corresponding Sum-of-learnt-Trigrams scores. (NW, Hist-8000) and (NW, Hist-SDM12) are both higher than (NW,SoT) for 10 sets of 1000 proteins sampled from Swiss-Prot [41]. close to 1 indicates a strong positive relationship between the alignment and cos. similarity scores, while values closer to zero indicate no relationship. We report mean and standard deviation of the correlations. NW: Needleman-Wunch global sequence alignment algorithm, Hist-8000: Histogram-8000, SoT: Sum-of-learnt-Trigrams, : Spearman rank correlation, Hist-SDM12: Hist-SDM12: Histogram-Structural Derived Matrix-12.

    Hist-8000 sequence similarity scores are closer to the ground truth than the corresponding Sum-of-learnt-Trigrams scores. (NW, Hist-8000) and (NW, Hist-SDM12) are both higher than... by Frixos Papadopoulos (22001664)

    Published 2025
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  10. 130
    Reward function related parameters.

    Reward function related parameters. by Honglei Pang (22693724)

    Published 2025
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  11. 131
    Hypothetical example illustrating how the <i>search</i>.<i>conv</i> function algorithm works.

    Hypothetical example illustrating how the <i>search</i>.<i>conv</i> function algorithm works. by Silvia Castiglione (5010581)

    Published 2019
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  12. 132
    Pseudocode of the BBAC_I Algorithm.

    Pseudocode of the BBAC_I Algorithm. by Zezhi Lin (22521663)

    Published 2025
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  13. 133
    Results from trajectory optimization of walking.

    Results from trajectory optimization of walking. by Antoine Falisse (6061601)

    Published 2019
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  14. 134
    CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages

    CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages by Vicente Martí-Centelles (1422415)

    Published 2024
    “…Efficiently predicting such properties is critical for accelerating the discovery of novel functional cages. Herein, we introduce <i>CageCavityCalc</i> (<i>C</i>3), a Python-based tool for calculating the cavity size of molecular cages. …”
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  15. 135
    CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages

    CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages by Vicente Martí-Centelles (1422415)

    Published 2024
    “…Efficiently predicting such properties is critical for accelerating the discovery of novel functional cages. Herein, we introduce <i>CageCavityCalc</i> (<i>C</i>3), a Python-based tool for calculating the cavity size of molecular cages. …”
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  16. 136
    CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages

    CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages by Vicente Martí-Centelles (1422415)

    Published 2024
    “…Efficiently predicting such properties is critical for accelerating the discovery of novel functional cages. Herein, we introduce <i>CageCavityCalc</i> (<i>C</i>3), a Python-based tool for calculating the cavity size of molecular cages. …”
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  17. 137
    Dataset of networks used in assessing the Troika algorithm for clique partitioning and community detection

    Dataset of networks used in assessing the Troika algorithm for clique partitioning and community detection by Samin Aref (4683934)

    Published 2025
    “…Each network is provided in .gml format or .pkl format which can be read into a networkX graph object using standard functions from the networkX library in Python. For accessing other networks used in the study, please refer to the article for references to the primary sources of those network data.…”
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  18. 138
    Search Algorithms and Loss Functions for Bayesian Clustering

    Search Algorithms and Loss Functions for Bayesian Clustering by David B. Dahl (11761055)

    Published 2022
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  19. 139
    Rosenbrock function.

    Rosenbrock function. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  20. 140
    Rosenbrock function.

    Rosenbrock function. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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