يعرض 81 - 100 نتائج من 12,934 نتيجة بحث عن '(( algorithm python function ) OR ((( algorithm both function ) OR ( algorithm i functions ))))', وقت الاستعلام: 1.41s تنقيح النتائج
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    Predictive Mixing for Density Functional Theory (and Other Fixed-Point Problems) حسب L. D. Marks (1949689)

    منشور في 2021
    "…Density functional theory calculations use a significant fraction of current supercomputing time. …"
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    Algorithm description and the effects of replay and forgetting on model performance. حسب Georgy Antonov (11938961)

    منشور في 2022
    "…Right: with MB forgetting (controlled by MB forgetting rate, <i>ϕ</i><sup><i>MB</i></sup>), the algorithm’s estimate of reward becomes an expectation of the reward function under its state-transition model. …"
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    Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>14−<i>f</i>23. حسب Ying Li (38224)

    منشور في 2024
    "…<p>Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>14−<i>f</i>23.…"
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    Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>8−<i>f</i>13. حسب Ying Li (38224)

    منشور في 2024
    "…<p>Convergence curves of the IMGO algorithm and comparison algorithms on functions <i>f</i>8−<i>f</i>13.…"
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    Comparison of algorithms in two cases. حسب Yi Tao (178829)

    منشور في 2022
    الموضوعات: "…evolutionary genetic algorithm…"
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    Flow of the NSGA-II algorithm. حسب Yi Tao (178829)

    منشور في 2022
    الموضوعات: "…evolutionary genetic algorithm…"
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    Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements حسب Pascal Wang (10130612)

    منشور في 2021
    "…<div>This directory contains Python 3 scripts implementing the Trajectory Adaptive Multilevel Sampling algorithm (TAMS), a variant of Adaptive Multilevel Splitting (AMS), for the study of rare events. …"
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    The run time for each algorithm in seconds. حسب Edward Antonian (21453161)

    منشور في 2025
    "…<div><p>In this paper, we study a class of non-parametric regression models for predicting graph signals as a function of explanatory variables . Recently, Kernel Graph Regression (KGR) and Gaussian Processes over Graph (GPoG) have emerged as promising techniques for this task. …"
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    Reconstructing <i>sparse</i>, binary patterns using message passing algorithms and PCA. حسب Sebastian Goldt (14522594)

    منشور في 2023
    "…Lines depict the result of the state evolution, while crosses denote the performance of the AMP algorithm on an instance of the problem. While AMP performs the same starting from both initialisations for <i>ρ</i> = 0.1 and <i>ρ</i> = 0.3, there is a gap in performance for <i>ρ</i> = 0.05, which might hint at the existence of a hard phase (see main text). …"