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    MACHINE LEARNING DEVICE USING ADAPTIVE FEATURE SELECTION AND METHOD OF OPERATING THE SAME
    1.
    发明申请
    MACHINE LEARNING DEVICE USING ADAPTIVE FEATURE SELECTION AND METHOD OF OPERATING THE SAME 有权

    公开(公告)号：US20250077966A1

    公开(公告)日：2025-03-06

    申请号：US18667206

    申请日：2024-05-17

    Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

    Inventor： Cheol Ho Kim ,  Junghoon Lee ,  Byounghwa Lee

    IPC: G06N20/00

    Abstract: Disclosed is a machine learning device, which includes a probability table generating device that generates, based on a data set received from an outside, a probability table and a conditional probability table, a correlation extraction device that generates correlation information associated with the target feature and the plurality of input features based on the data set, a feature weight extraction device that generates a feature weight for each of the plurality of input features based on at least some of first information among the correlation information, the probability table, and the conditional probability table, a feature selection device that calculates a feature importance based on second information among the correlation information and the feature weight and selects at least some of the plurality of input features based on the feature importance, and a model generating device that generates a prediction model including at least some of the selected input features.

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