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    SYSTEMS AND METHODS FOR MODIFYING DEVICE OPERATION BASED ON DATASETS GENERATED USING MACHINE LEARNING TECHNIQUES
    1.
    发明申请
    SYSTEMS AND METHODS FOR MODIFYING DEVICE OPERATION BASED ON DATASETS GENERATED USING MACHINE LEARNING TECHNIQUES 有权

    公开(公告)号：US20220173965A1

    公开(公告)日：2022-06-02

    申请号：US17109810

    申请日：2020-12-02

    申请人： Verizon Patent and Licensing Inc.

    发明人： Anne Lourdu Grace Joseph Martin ,  Malaya Rout ,  Mohit Kumar

    IPC分类号： H04L12/24 ,  G06K9/62

    摘要： A configuration system may generate synthetic datasets based on machine learning, and may provide the synthetic datasets in order to configure, train, test, and/or otherwise modify operation of network equipment and/or other devices. The configuration system may receive a sampling of data used by the particular network equipment, and may determine parameters that define values for the variables represented in the sampling. The configuration system may generate different datasets based on the parameters, and may determine an accuracy of each dataset to the sampling based on the values of each dataset conforming by different amounts to the parameters that define the values for the variables represented in the sampling by different amounts. The configuration system may modify the network equipment operation using the values from a particular dataset in response to determining that the accuracy of the particular dataset is greatest to the sampling.

    Systems and methods for modifying device operation based on datasets generated using machine learning techniques
    2.
    发明授权
    Systems and methods for modifying device operation based on datasets generated using machine learning techniques 有权

    公开(公告)号：US11502900B2

    公开(公告)日：2022-11-15

    申请号：US17109810

    申请日：2020-12-02

    申请人： Verizon Patent and Licensing Inc.

    发明人： Anne Lourdu Grace Joseph Martin ,  Malaya Rout ,  Mohit Kumar

    IPC分类号： G06F15/177 ,  H04L41/0813 ,  G06K9/62

    摘要： A configuration system may generate synthetic datasets based on machine learning, and may provide the synthetic datasets in order to configure, train, test, and/or otherwise modify operation of network equipment and/or other devices. The configuration system may receive a sampling of data used by the particular network equipment, and may determine parameters that define values for the variables represented in the sampling. The configuration system may generate different datasets based on the parameters, and may determine an accuracy of each dataset to the sampling based on the values of each dataset conforming by different amounts to the parameters that define the values for the variables represented in the sampling by different amounts. The configuration system may modify the network equipment operation using the values from a particular dataset in response to determining that the accuracy of the particular dataset is greatest to the sampling.

    SYSTEMS AND METHODS FOR MODIFYING DEVICE OPERATION BASED ON DATASETS GENERATED USING MACHINE LEARNING TECHNIQUES
    4.
    发明申请
    SYSTEMS AND METHODS FOR MODIFYING DEVICE OPERATION BASED ON DATASETS GENERATED USING MACHINE LEARNING TECHNIQUES 有权

    公开(公告)号：US20230063045A1

    公开(公告)日：2023-03-02

    申请号：US18046823

    申请日：2022-10-14

    申请人： Verizon Patent and Licensing Inc.

    发明人： Anne Lourdu Grace Joseph Martin ,  Malaya Rout ,  Mohit Kumar

    IPC分类号： H04L41/0813 ,  G06K9/62

    摘要： A configuration system may generate synthetic datasets based on machine learning, and may provide the synthetic datasets in order to configure, train, test, and/or otherwise modify operation of network equipment and/or other devices. The configuration system may receive a sampling of data used by the particular network equipment, and may determine parameters that define values for the variables represented in the sampling. The configuration system may generate different datasets based on the parameters, and may determine an accuracy of each dataset to the sampling based on the values of each dataset conforming by different amounts to the parameters that define the values for the variables represented in the sampling by different amounts. The configuration system may modify the network equipment operation using the values from a particular dataset in response to determining that the accuracy of the particular dataset is greatest to the sampling.