FEATURE SELECTION VIA AN ENSEMBLE OF GATING LAYERS

    公开(公告)号:US20230169391A1

    公开(公告)日:2023-06-01

    申请号:US17537185

    申请日:2021-11-29

    Applicant: Lemon Inc.

    CPC classification number: G06N20/00

    Abstract: Embodiments of the present disclosure relate to feature selection via an ensemble of gating layers. According to embodiments of the present disclosure, a plurality of gating layers is provided to be trained together with a machine learning model. At each update step, one of the plurality of gating layers is selected to perform gating parameter value update together with model parameter value update of the machine learning model. After the iterative update process, a set of target gating parameter values is determined from a plurality of sets of gating parameter values of the plurality of gating layers after the iterative update, and can be used to select a target subset of features to be conveyed from one layer to a next layer in the machine learning model.

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