يعرض 1 - 20 نتائج من 3,855 نتيجة بحث عن '(((( algorithm steps function ) OR ( algorithm pre function ))) OR ( algorithm both function ))', وقت الاستعلام: 0.71s تنقيح النتائج
  1. 1

    Feature selection algorithm. حسب Mahmoud Zeydabadinezhad (12289570)

    منشور في 2023
    الموضوعات:
  2. 2
  3. 3
  4. 4

    Prediction performance of different optimization algorithms. حسب Ali-Kemal Aydin (10968731)

    منشور في 2021
    "…<p>(A) 3 algorithms were compared in terms of the residuals of the cost function of the optimized TF on 7 mice datasets (Derivative free algorithm failed in optimizing a TF in a mouse). …"
  5. 5

    Comparison of deconvolution and optimization algorithms on a batch of data. حسب Ali-Kemal Aydin (10968731)

    منشور في 2021
    "…Output is given by the vascular response, measured as the change in speed of red blood cells flowing inside a capillary proximal to the recorded neuronal activation (in yellow, right panel). Both experimental data have been resampled at 50ms and used to compute a set of TFs (in orange) either with direct deconvolution approaches (Fourier or Toeplitz methods, middle-upper panel TFs) or with 1-Γ function optimization performed by 3 different algorithms (middle-lower panel TFs). …"
  6. 6
  7. 7
  8. 8
  9. 9

    Images of partial benchmark functions. حسب ZeSheng Lin (20501356)

    منشور في 2025
    الموضوعات:
  10. 10
  11. 11

    Algorithm of the brightness scale calibration experiment. حسب Krzysztof Petelczyc (3954203)

    منشور في 2024
    "…<p>In the algorithm, the following variables were used: “I” denotes the current luminous intensity of the reference diode, “inc” denotes the current difference between reference and target diode luminous intensity; “cnt” is the current number of performed trials, while “correct” is a counter of correct answers in cnt trials, both of them are counted separately for every settings of I and inc. …"
  12. 12
  13. 13
  14. 14
  15. 15
  16. 16
  17. 17
  18. 18

    If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. حسب Yuanchen Zhao (12905580)

    منشور في 2024
    "…Each algorithm return a set of coarsened <i>variables</i> (a grouping of species into three groups) and a <i>model</i> that uses these variables to predict the function. …"
  19. 19
  20. 20