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Showing 1 - 20 results of 5,760 for search '(( algorithm within function ) OR ( algorithm machine function ))*', query time: 0.29s Refine Results
  1. 1
    Activation functions: Sigmoid function and ReLU function.

    Activation functions: Sigmoid function and ReLU function. by Wan-Hua Zhang (21601139)

    Published 2025
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  2. 2
    Analysis of ABIDE dataset: Conventional regression frameworks for optimized algorithmic value.

    Analysis of ABIDE dataset: Conventional regression frameworks for optimized algorithmic value. by Alexandria M. Jensen (6494957)

    Published 2024
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  3. 3
    Distribution of cross correlations in functional connectivity in ABIDE sample.

    Distribution of cross correlations in functional connectivity in ABIDE sample. by Alexandria M. Jensen (6494957)

    Published 2024
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  4. 4
    Myosoft: An automated muscle histology analysis tool using machine learning algorithm utilizing FIJI/ImageJ software

    Myosoft: An automated muscle histology analysis tool using machine learning algorithm utilizing FIJI/ImageJ software by Lucas Encarnacion-Rivera (8532147)

    Published 2020
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  5. 5
    Fitness function curve at weight factor 0.3.

    Fitness function curve at weight factor 0.3. by Dhulfiqar Hakeem Dhayef (17729684)

    Published 2024
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  6. 6
    Examples of between- and within-community Beta distributions.

    Examples of between- and within-community Beta distributions. by Alexandria M. Jensen (6494957)

    Published 2024
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  7. 7
    Fluctuation of the objective function of our mathematical model with respect to shifts in one input signal of a data sample.

    Fluctuation of the objective function of our mathematical model with respect to shifts in one input signal of a data sample. by Sebastian Sager (16205)

    Published 2021
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  8. 8
    Comparative performance evaluation of 3Mont with other feature selection algorithms over 10 iterations.

    Comparative performance evaluation of 3Mont with other feature selection algorithms over 10 iterations. by Miray Unlu Yazici (14792680)

    Published 2025
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  9. 9
    Pair Potentials as Machine Learning Features

    Pair Potentials as Machine Learning Features by Jun Pei (1765720)

    Published 2020
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  10. 10
    Pair Potentials as Machine Learning Features

    Pair Potentials as Machine Learning Features by Jun Pei (1765720)

    Published 2020
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  11. 11
    Pair Potentials as Machine Learning Features

    Pair Potentials as Machine Learning Features by Jun Pei (1765720)

    Published 2020
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  12. 12
    Part-machine incidence matrix.

    Part-machine incidence matrix. by Dhulfiqar Hakeem Dhayef (17729684)

    Published 2024
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  13. 13
    Part and machine chromosome representation.

    Part and machine chromosome representation. by Dhulfiqar Hakeem Dhayef (17729684)

    Published 2024
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  14. 14
    Multimodal reference functions.

    Multimodal reference functions. by Ruiyu Zhan (21602031)

    Published 2025
    “…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …”
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  15. 15
    Best part-machine incidence matrix.

    Best part-machine incidence matrix. by Dhulfiqar Hakeem Dhayef (17729684)

    Published 2024
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  16. 16
    ROC analysis of the Machine Learning Algorithm.

    ROC analysis of the Machine Learning Algorithm. by Stephan Ellmann (314565)

    Published 2020
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  17. 17
    The convergence curves of the test functions.

    The convergence curves of the test functions. by Ruiyu Zhan (21602031)

    Published 2025
    “…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …”
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  18. 18
    Single-peaked reference functions.

    Single-peaked reference functions. by Ruiyu Zhan (21602031)

    Published 2025
    “…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …”
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  19. 19
    WGCNA and machine learning algorithms.

    WGCNA and machine learning algorithms. by Shushu Wang (6870191)

    Published 2024
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  20. 20
    Combining Deep Learning Neural Networks with Genetic Algorithms to Map Nanocluster Configuration Spaces with Quantum Accuracy at Low Computational Cost

    Combining Deep Learning Neural Networks with Genetic Algorithms to Map Nanocluster Configuration Spaces with Quantum Accuracy at Low Computational Cost by Johnathan von der Heyde (16828390)

    Published 2023
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