يعرض 121 - 140 نتائج من 13,388 نتيجة بحث عن '(((( algorithm rate function ) OR ( algorithm i function ))) OR ( algorithm python function ))', وقت الاستعلام: 0.84s تنقيح النتائج
  1. 121

    GP problems. حسب Jin Ding (11522)

    منشور في 2023
    الموضوعات:
  2. 122

    MS-GEP genetic operation. حسب Jin Ding (11522)

    منشور في 2023
    الموضوعات:
  3. 123

    The test error of RF and MS-GEP. حسب Jin Ding (11522)

    منشور في 2023
    الموضوعات:
  4. 124

    The K-expression of CP-EE model. حسب Jin Ding (11522)

    منشور في 2023
    الموضوعات:
  5. 125

    Performance metrics of comparative experiment. حسب Jin Ding (11522)

    منشور في 2023
    الموضوعات:
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    The convergence curves of the test functions. حسب Ruiyu Zhan (21602031)

    منشور في 2025
    "…For the early-stage diabetes dataset, LGWO-BP achieved an accuracy of 0.92, a recall of 0.93, a precision of 0.88, an F1-score of 0.91, and an AUC of 0.95. Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"
  14. 134

    Single-peaked reference functions. حسب Ruiyu Zhan (21602031)

    منشور في 2025
    "…For the early-stage diabetes dataset, LGWO-BP achieved an accuracy of 0.92, a recall of 0.93, a precision of 0.88, an F1-score of 0.91, and an AUC of 0.95. Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"
  15. 135

    The details of the Scelestial algorithm. حسب Mohammad-Hadi Foroughmand-Araabi (6658772)

    منشور في 2022
    "…<p>The inputs to the Scelestial algorithm are a) a set of sequences <i>S</i>, b) the degree of restriction of the restricted Steiner tree <i>k</i>. …"
  16. 136

    ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space حسب Koushik Naskar (7510592)

    منشور في 2020
    "…For the numerical case, user can directly provide <i>ab initio</i> data (adiabatic PESs and NACTs) as input files to this software or can generate those input files through in-built python codes interfacing MOLPRO followed by ADT calculation. …"
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