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Showing 1 - 20 results of 19,396 for search '(( algorithm _ function ) OR ((( algorithm three functional ) OR ( algorithm based function ))))', query time: 1.99s Refine Results
  1. 1
    Algorithm results based on experimental likelihood functions.

    Algorithm results based on experimental likelihood functions. by Nicolas Herzig (9230425)

    Published 2020
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  2. 2
    Algorithm results based on FE simulated likelihood functions.

    Algorithm results based on FE simulated likelihood functions. by Nicolas Herzig (9230425)

    Published 2020
    “…<p>(A) Nodule depth estimation by the algorithm with the likelihood functions obtained by FEM simulation. …”
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  3. 3
    Performance profile of the four algorithms based on the function value of iteration number.

    Performance profile of the four algorithms based on the function value of iteration number. by Sulaiman M. Ibrahim (20614376)

    Published 2025
    “…<p>Performance profile of the four algorithms based on the function value of iteration number.…”
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  4. 4
    Pipeline of the interactor algorithm.

    Pipeline of the interactor algorithm. by Jose Cleydson F. Silva (8685594)

    Published 2025
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  5. 5
    A hybrid algorithm based on improved threshold function and wavelet transform.

    A hybrid algorithm based on improved threshold function and wavelet transform. by Bingbing Li (461702)

    Published 2024
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  6. 6
    Comparison of algorithm performance in ZDT3 and ZDT4 function tests.

    Comparison of algorithm performance in ZDT3 and ZDT4 function tests. by Tao Dong (15551)

    Published 2025
    “…<p>Comparison of algorithm performance in ZDT3 and ZDT4 function tests.…”
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  7. 7
    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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  8. 8
    Objective function values of each algorithm for solving large-scale problems.

    Objective function values of each algorithm for solving large-scale problems. by Lijun Fan (2007628)

    Published 2023
    “…<p>Objective function values of each algorithm for solving large-scale problems.…”
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  9. 9
    Benchmarking functions.

    Benchmarking functions. by Guilin Yang (583364)

    Published 2024
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  10. 10
    Comparison of performance metrics of three algorithms.

    Comparison of performance metrics of three algorithms. by Junjie He (700642)

    Published 2024
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  11. 11
    The flow of the genetic algorithm with the nested Frank-Wolfe algorithm.

    The flow of the genetic algorithm with the nested Frank-Wolfe algorithm. by Zhipeng Huang (1759759)

    Published 2025
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  12. 12
    Flowchart of DQN algorithm.

    Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

    Published 2025
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  13. 13
    Comparison of different algorithms.

    Comparison of different algorithms. by Jiandong Qiu (20389944)

    Published 2025
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  14. 14
    Function convergence curve.

    Function convergence curve. by Guilin Yang (583364)

    Published 2024
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  15. 15
    Predictions from a Universal Value Function Approximator (UVFA) algorithm.

    Predictions from a Universal Value Function Approximator (UVFA) algorithm. by Sam Hall-McMaster (10343795)

    Published 2025
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  16. 16
    Genetic algorithm flowchart.

    Genetic algorithm flowchart. by Junjie He (700642)

    Published 2024
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  17. 17
    Comparison of algorithm search curves.

    Comparison of algorithm search curves. by Bowen Li (200859)

    Published 2023
    “…At the same time, the characteristics of Gaussian function are introduced to ensure the activity of hidden layer neurons. …”
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  18. 18
    Pseudo-code of DMDDPG algorithm.

    Pseudo-code of DMDDPG algorithm. by Guohua Cao (697580)

    Published 2025
    “…Next, a reward function is designed by integrating the decoupled multi-agent deterministic deep deterministic policy gradient (DMDDPG) algorithm. …”
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  19. 19
    An Efficient Algorithm for Minimizing Multi Non-Smooth Component Functions

    An Efficient Algorithm for Minimizing Multi Non-Smooth Component Functions by Minh Pham (2458399)

    Published 2021
    “…<p>Many problems in statistics and machine learning can be formulated as an optimization problem of a finite sum of nonsmooth convex functions. We propose an algorithm to minimize this type of objective functions based on the idea of alternating linearization. …”
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  20. 20
    Comparison of site selection results of three algorithms.

    Comparison of site selection results of three algorithms. by Junjie He (700642)

    Published 2024
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