يعرض 141 - 160 نتائج من 15,670 نتيجة بحث عن '(( ((algorithm a) OR (algorithm where)) function ) OR ( algorithm python function ))', وقت الاستعلام: 0.74s تنقيح النتائج
  1. 141
  2. 142

    BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data حسب Jean-Christophe Lachance (6619307)

    منشور في 2019
    "…Despite its importance, no standardized computational platform is currently available to generate species-specific biomass objective functions in a data-driven, unbiased fashion. To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …"
  3. 143
  4. 144

    Improved A* algorithm flowchart. حسب Peiying Li (797714)

    منشور في 2024
    "…Specifically, A-star is optimized by evaluation function, sub node selection mode and path smoothness, and fuzzy control is introduced to optimize the sliding window algorithm. …"
  5. 145

    Codes of the flow distance algorithm "D∞-TLI" and the width function algorithm "MEB" حسب Pengfei Wu (11627371)

    منشور في 2023
    "…<p>The JAVA codes of the flow distance algorithm "D∞-TLI" and the width function algorithm "MEB" are provided. …"
  6. 146
  7. 147

    Performance as a function of the number of algorithm executions for the full-sized matrix design. حسب Jörg Felder (5848541)

    منشور في 2020
    "…<p>Performance as a function of the number of algorithm executions for the full-sized matrix design.…"
  8. 148

    Data_Sheet_1_A Fast DFA Algorithm for Multifractal Multiscale Analysis of Physiological Time Series.ZIP حسب Paolo Castiglioni (4488004)

    منشور في 2019
    "…Recent researches extended its use for evaluating multifractality (where α is a function of the multifractal parameter q) at different scales n. …"
  9. 149
  10. 150
  11. 151
  12. 152

    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. …"
  13. 153
  14. 154
  15. 155
  16. 156
  17. 157

    Dataset of networks used in assessing the Troika algorithm for clique partitioning and community detection حسب Samin Aref (4683934)

    منشور في 2025
    "…Each network is provided in .gml format or .pkl format which can be read into a networkX graph object using standard functions from the networkX library in Python. …"
  18. 158

    Search Algorithms and Loss Functions for Bayesian Clustering حسب David B. Dahl (11761055)

    منشور في 2022
    "…<p>We propose a randomized greedy search algorithm to find a point estimate for a random partition based on a loss function and posterior Monte Carlo samples. …"
  19. 159
  20. 160