يعرض 101 - 120 نتائج من 15,670 نتيجة بحث عن '(((( algorithm a function ) OR ( algorithm where function ))) OR ( algorithm python function ))', وقت الاستعلام: 0.86s تنقيح النتائج
  1. 101

    Optimization outcome for the Levy function. حسب Shikun Chen (14625352)

    منشور في 2025
    "…This approach bridges the gap between model accuracy and optimization efficiency, offering a practical solution for optimizing non-differentiable machine learning models that can be extended to other tree-based ensemble algorithms. …"
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    Tapping on the Black Box: How Is the Scoring Power of a Machine-Learning Scoring Function Dependent on the Training Set? حسب Minyi Su (1425976)

    منشور في 2020
    "…In order to examine the true power of machine-learning algorithms in scoring function formulation, we have conducted a systematic study of six off-the-shelf machine-learning algorithms, including Bayesian Ridge Regression (BRR), Decision Tree (DT), K-Nearest Neighbors (KNN), Multilayer Perceptron (MLP), Linear Support Vector Regression (L-SVR), and Random Forest (RF). …"
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    Comparison of algorithms in two cases. حسب Yi Tao (178829)

    منشور في 2022
    الموضوعات: "…evolutionary genetic algorithm…"
  6. 106

    Flow of the NSGA-II algorithm. حسب Yi Tao (178829)

    منشور في 2022
    الموضوعات: "…evolutionary genetic algorithm…"
  7. 107

    As for Fig 2, we present failure rates as a function of the cohort size (vertical axis) versus the number of distractors (horizontal axis), for the Smyth and McClave baseline algorithm from [76]. حسب Daniela Huppenkothen (9174507)

    منشور في 2020
    "…In the middle left, the converse case, where the embedded cohort is skewed, but the distractors balanced, and finally in the middle right a case where both the embedded cohort to be selected and the distractors have a highly skewed distribution. …"
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    Algorithms for Sparse Support Vector Machines حسب Alfonso Landeros (798926)

    منشور في 2022
    "…Penalties still appear, but serve a different purpose. The proximal distance principle takes a loss function <math><mrow><mi>L</mi><mo>(</mo><mi>β</mi><mo>)</mo></mrow></math> and adds the penalty <math><mrow><mi>ρ</mi><mn>2</mn>dist<mrow><mrow><mo>(</mo><mi>β</mi><mo>,</mo><msub><mrow><mi>S</mi></mrow><mi>k</mi></msub><mo>)</mo></mrow></mrow><mn>2</mn></mrow></math> capturing the squared Euclidean distance of the parameter vector <math><mi>β</mi></math> to the sparsity set <i>S<sub>k</sub></i> where at most <i>k</i> components of <math><mi>β</mi></math> are nonzero. …"
  10. 110

    Multidomain, Automated Photopatterning of DNA-functionalized Hydrogels (MAPDH). حسب Moshe Rubanov (7289156)

    منشور في 2024
    "…<p><b>A)</b> Generalized workflow for fabricating DNA-functionalized hydrogels. …"
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    A synthetic biology approach for the design of genetic algorithms with bacterial agents حسب A. Gargantilla Becerra (8734841)

    منشور في 2022
    "…To this end, we designed a genetic algorithm, which we have named BAGA, illustrating its utility solving simple instances of optimization problems such as function optimization, 0/1 knapsack problem, Hamiltonian path problem. …"
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