DETERMINING A HYPERPARAMETER FOR INFLUENCING NON-LOCAL SAMPLES IN MACHINE LEARNING

    公开(公告)号:US20230004860A1

    公开(公告)日:2023-01-05

    申请号:US17366249

    申请日:2021-07-02

    Abstract: Methods, computer readable media, and devices for determining a hyperparameter for influencing non-local samples in machine learning are disclosed. One method may include identifying a set of local samples associated with a first entity, identifying a set of non-local samples comprising samples associated with a plurality of entities other than the first entity, assigning a local sample weight to one or more samples of the set of local samples, determining a range of non-local sample weights, determining a range of hyperparameters based on the range of non-local sample weights, determining an optimized hyperparameter based on the range of hyperparameters, assigning an optimized non-local sample weight to one or more samples of the set of non-local samples, and generating a prediction using machine learning.

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