Search alternatives:
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm basis » algorithm based (Expand Search), algorithms based (Expand Search), algorithm ai (Expand Search)
where function » sphere function (Expand Search), gene function (Expand Search), wave function (Expand Search)
basis function » loss function (Expand Search), brain function (Expand Search), barrier function (Expand Search)
Showing 81 - 100 results of 1,862 for search '(((( algorithm python function ) OR ( algorithm where function ))) OR ( algorithm basis function ))', query time: 0.64s Refine Results
  1. 81
    The result of Wilcoxon signed-rand test.

    The result of Wilcoxon signed-rand test. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
    Save to List
    Saved in:
  2. 82
    The Simulation and optimization process of pipe diameter selection.

    The Simulation and optimization process of pipe diameter selection. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
    Save to List
    Saved in:
  3. 83
    Optional pipe diameter and unit price of NYN.

    Optional pipe diameter and unit price of NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
    Save to List
    Saved in:
  4. 84
    Optional pipe diameter and unit price of HN.

    Optional pipe diameter and unit price of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
    Save to List
    Saved in:
  5. 85
    The topology of HN.

    The topology of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
    Save to List
    Saved in:
  6. 86
    Information of nodes and pipes of HN.

    Information of nodes and pipes of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
    Save to List
    Saved in:
  7. 87
    Partner identification for proteins where the predicted and experimental interfaces do not match (F1-score < 0.2).

    Partner identification for proteins where the predicted and experimental interfaces do not match (F1-score < 0.2). by Chloé Dequeker (4966165)

    Published 2022
    Save to List
    Saved in:
  8. 88
    Autonomous Experiments in Scanning Probe Microscopy and Spectroscopy: Choosing Where to Explore Polarization Dynamics in Ferroelectrics

    Autonomous Experiments in Scanning Probe Microscopy and Spectroscopy: Choosing Where to Explore Polarization Dynamics in Ferroelectrics by Rama K. Vasudevan (1612174)

    Published 2021
    Save to List
    Saved in:
  9. 89
    WheresWalker pipeline utilizes WGS data to identify segregating SNPs and indels.

    WheresWalker pipeline utilizes WGS data to identify segregating SNPs and indels. by McKenna Feltes (11242085)

    Published 2025
    Save to List
    Saved in:
  10. 90
    Bulk Segregant Analysis (BSA) homozygosity mapping mirrors WheresWalker output.

    Bulk Segregant Analysis (BSA) homozygosity mapping mirrors WheresWalker output. by McKenna Feltes (11242085)

    Published 2025
    Save to List
    Saved in:
  11. 91
    WheresWalker identifies the correct chromosomal region for three dark yolk loci.

    WheresWalker identifies the correct chromosomal region for three dark yolk loci. by McKenna Feltes (11242085)

    Published 2025
    Save to List
    Saved in:
  12. 92
    Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic

    Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic by NELSON L. DIAS (8078003)

    Published 2019
    “…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. …”
    Save to List
    Saved in:
  13. 93
    The image of the Aekley function.

    The image of the Aekley function. by Zhengyu Xu (8550660)

    Published 2025
    Save to List
    Saved in:
  14. 94
    Oxidation State Localized Orbitals: A Method for Assigning Oxidation States Using Optimally Fragment-Localized Orbitals and a Fragment Orbital Localization Index

    Oxidation State Localized Orbitals: A Method for Assigning Oxidation States Using Optimally Fragment-Localized Orbitals and a Fragment Orbital Localization Index by Martí Gimferrer (5116706)

    Published 2021
    Subjects:
    Save to List
    Saved in:
  15. 95
    The decomposition diagram of the large kernel convolution, where the blue grid represents the convolution kernel and the green grid represents the center point.

    The decomposition diagram of the large kernel convolution, where the blue grid represents the convolution kernel and the green grid represents the center point. by Xunqian Xu (21261899)

    Published 2025
    Save to List
    Saved in:
  16. 96
    Autocorrelation functions <i>C</i>(<i>r</i>, <i>t</i>) as functions of the rescaled distance <i>r</i>/<i>R</i>(<i>t</i>) for several time points, where <i>R</i>(<i>t</i>) is determined as the position of the first zero of the raw autocorrelation function at time <i>t</i>, shown in the inset.

    Autocorrelation functions <i>C</i>(<i>r</i>, <i>t</i>) as functions of the rescaled distance <i>r</i>/<i>R</i>(<i>t</i>) for several time points, where <i>R</i>(<i>t</i>) is determ... by Marc Durand (556746)

    Published 2021
    Save to List
    Saved in:
  17. 97
    Algorithm pseudocode.

    Algorithm pseudocode. by Cheng-jie Chen (22272090)

    Published 2025
    “…On the basis of the Retinex model, multi-level decomposition of brightness is carried out, and different filtering parameters are set to obtain multiple illumination and reflection images with different scale information; Using exponential function and Sigmoid function to process reflection images and illumination images separately, reducing external interference on images of different scales, and solving the difficulty of enhancing images with uneven illumination, high noise, low illumination, and loss of details. …”
    Save to List
    Saved in:
  18. 98
    Mean and standard deviation of RBF classifier performance across different training algorithms with cross-validation.

    Mean and standard deviation of RBF classifier performance across different training algorithms with cross-validation. by Mohammad Hossein Hadizadeh Isfahani (22634016)

    Published 2025
    Save to List
    Saved in:
  19. 99
    Mean and standard deviation of MLP classifier performance across different training algorithms with cross-validation.

    Mean and standard deviation of MLP classifier performance across different training algorithms with cross-validation. by Mohammad Hossein Hadizadeh Isfahani (22634016)

    Published 2025
    Save to List
    Saved in:
  20. 100
    Bioinformatics pipeline for circadian function.

    Bioinformatics pipeline for circadian function. by Patrick B. Schwartz (14782608)

    Published 2023
    “…CYCLOPS (cyclic ordering by periodic structure) is an algorithm that can identify rhythmic (longitudinal) data from population data where sample time acquisition is unknown. …”
    Save to List
    Saved in:

Search Tools: