Showing 1 - 20 results of 15,778 for search 'differences ((custom algorithm) OR (based algorithm))', query time: 0.47s Refine Results
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    Plot of accuracy, precision and recall of different algorithms on on wholesale customers data. by Samyajoy Pal (12562767)

    Published 2022
    “…<p>Plot of accuracy, precision and recall of different algorithms on on wholesale customers data.…”
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    Solution results of different algorithms. by Meilin Zhu (688698)

    Published 2025
    “…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …”
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    Algorithms runtime comparison. by Meilin Zhu (688698)

    Published 2025
    “…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …”
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    The flowchart of QLDE algorithm. by Guanqun Wang (705958)

    Published 2025
    “…This paper proposes a customer segmentation framework within the realm of digital marketing, which integrates a reinforcement learning-based differential evolution algorithm with <i>K</i>-means clustering using dimensionality reduction techniques to address challenges in the customer segmentation process. …”
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    Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement by Antoine Falisse (6061601)

    Published 2019
    “…<div><p>Algorithmic differentiation (AD) is an alternative to finite differences (FD) for evaluating function derivatives. …”
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    Pseudocode for the missForestPredict algorithm. by Elena Albu (15181070)

    Published 2025
    “…The missForestPredict algorithm is compared to mean/mode imputation, linear regression imputation, mice, k-nearest neighbours, bagging, miceRanger and IterativeImputer on eight simulated datasets with simulated missingness (48 scenarios) and eight large public datasets using different prediction models. missForestPredict provides competitive results in prediction settings within short computation times.…”