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Showing 141 - 160 results of 1,582 for search '(( algorithm allows function ) OR ((( algorithm python function ) OR ( algorithm pca function ))))', query time: 0.64s Refine Results
  1. 141
    Python implementation from Symplectic decomposition from submatrix determinants

    Python implementation from Symplectic decomposition from submatrix determinants by Jason L. Pereira (11598632)

    Published 2021
    “…Python implementation of the algorithm and demonstration of how to use the functions.…”
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  2. 142
    The SGLA comparison data of and ℛ<sub>ℏ,1</sub>(ƻ) with ℏ = 3 at <i>α</i>∈{0.1,0.7} and <i>β</i> = 0.5 in Example 2.

    The SGLA comparison data of and ℛ<sub>ℏ,1</sub>(ƻ) with ℏ = 3 at <i>α</i>∈{0.1,0.7} and <i>β</i> = 0.5 in Example 2. by Hind Sweis (18880638)

    Published 2024
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  3. 143
    Fig 1 -

    Fig 1 - by Hind Sweis (18880638)

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  4. 144
    Fig 4 -

    Fig 4 - by Hind Sweis (18880638)

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  5. 145
    Fig 2 -

    Fig 2 - by Hind Sweis (18880638)

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  6. 146
    The SGLA comparison data of and ℛ<sub>ℏ,2</sub>(ƻ) with ℏ = 3 at <i>α</i> = 0.5 and <i>β</i>∈{0.3,0.8} in Example 1.

    The SGLA comparison data of and ℛ<sub>ℏ,2</sub>(ƻ) with ℏ = 3 at <i>α</i> = 0.5 and <i>β</i>∈{0.3,0.8} in Example 1. by Hind Sweis (18880638)

    Published 2024
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  7. 147
    The SGLA comparison data of and ℛ<sub>ℏ,1</sub>(ƻ) with ℏ = 3 at <i>α</i> = 0.5 and <i>β</i>∈{0.3,0.8} in Example 1.

    The SGLA comparison data of and ℛ<sub>ℏ,1</sub>(ƻ) with ℏ = 3 at <i>α</i> = 0.5 and <i>β</i>∈{0.3,0.8} in Example 1. by Hind Sweis (18880638)

    Published 2024
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  8. 148
    The SGLA comparison data of and ℛ<sub>ℏ,1</sub>(ƻ) with ℏ = 3 at <i>α</i>∈{0.1,0.7} and <i>β =</i> 0.5 in Example 2.

    The SGLA comparison data of and ℛ<sub>ℏ,1</sub>(ƻ) with ℏ = 3 at <i>α</i>∈{0.1,0.7} and <i>β =</i> 0.5 in Example 2. by Hind Sweis (18880638)

    Published 2024
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  9. 149
    Fig 3 -

    Fig 3 - by Hind Sweis (18880638)

    Published 2024
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  10. 150
    Mean size of stripes as a function of <i>α</i>.

    Mean size of stripes as a function of <i>α</i>. by Pratik Mullick (12851011)

    Published 2022
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  11. 151
    Mean crossing time as a function of <i>α</i>.

    Mean crossing time as a function of <i>α</i>. by Pratik Mullick (12851011)

    Published 2022
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  12. 152
    GraSPy: an Open Source Python Package for Statistical Connectomics

    GraSPy: an Open Source Python Package for Statistical Connectomics by Benjamin Pedigo (6580352)

    Published 2019
    “…We developed GraSPy, an open-source Python toolkit for statistical inference on graphs. …”
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  13. 153
    Modular architecture design of PyNoetic showing all its constituent functions.

    Modular architecture design of PyNoetic showing all its constituent functions. by Gursimran Singh (575288)

    Published 2025
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  14. 154
    Comparison between simulations for all algorithms and for all cases (1, 2 and 3).

    Comparison between simulations for all algorithms and for all cases (1, 2 and 3). by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  15. 155
    List of Abbreviations

    List of Abbreviations by Gursimran Singh (575288)

    Published 2025
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  16. 156
    Adaptive H-REMD simulation algorithm.

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

    Published 2021
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  17. 157
    The results of ICA performed using PyNoetic.

    The results of ICA performed using PyNoetic. by Gursimran Singh (575288)

    Published 2025
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  18. 158
    The workflow used to analyze imbalanced and balanced sequences.

    The workflow used to analyze imbalanced and balanced sequences. by Solomon Shiferaw Beyene (9143178)

    Published 2020
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  19. 159
    Performances of Naïve Bayes (NB), Multilayer Perceptron (MLP), Random Forest (RF), Gradient Boosting (GB), Support Vector Machine (SVM) and K- Nearest Neighbors (KNN).

    Performances of Naïve Bayes (NB), Multilayer Perceptron (MLP), Random Forest (RF), Gradient Boosting (GB), Support Vector Machine (SVM) and K- Nearest Neighbors (KNN). by Solomon Shiferaw Beyene (9143178)

    Published 2020
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  20. 160
    Accuracy, sensitivity, specificity and F-score.

    Accuracy, sensitivity, specificity and F-score. by Solomon Shiferaw Beyene (9143178)

    Published 2020
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