REUSE OF MACHINE LEARNING MODELS
    237.
    发明申请

    公开(公告)号:US20230101955A1

    公开(公告)日:2023-03-30

    申请号:US17486798

    申请日:2021-09-27

    Abstract: A method performed by a processing system including at least one processor includes defining a proposal for a proposed machine learning model, identifying an existing machine learning model, where the existing machine learning model shares a similarity with the proposed machine learning model, evaluating a fitness of the existing machine learning model for reuse in building the proposed machine learning model, building a new machine learning model that is consistent with the proposal for the proposed machine learning model by reusing a portion of the existing machine learning model, and monitoring a performance of the new machine learning model in a deployment environment.

    SYSTEM FOR EXTENDED REALITY VISUAL CONTRIBUTIONS

    公开(公告)号:US20230096017A1

    公开(公告)日:2023-03-30

    申请号:US18062069

    申请日:2022-12-06

    Abstract: Aspects of the subject disclosure may include, for example, receiving information about a task to be completed by a user, receiving information about the user and receiving information about a physical environment of the user. The subject disclosure may further include creating one or more immersion objects based on the information about the task, the information about the user and the information about the physical environment, creating an immersive environment including the one or more immersive objects and at least a portion of the physical environment of the user, and communicating to an extended reality (XR) device of the user information about the immersive environment to create an immersive experience for completion of the task by the user. Other embodiments are disclosed.

    FACILITATING SELECTION OF CATEGORICAL FEATURES IN MACHINE LEARNING

    公开(公告)号:US20230076592A1

    公开(公告)日:2023-03-09

    申请号:US17467670

    申请日:2021-09-07

    Abstract: Facilitating selection of the most significant set of categorical features in machine learning is provided herein. Operations of a system include determining a list of unique values of a categorical variable. The operations also include calculating respective mean values, of a target variable, for unique values of the list of unique values of the categorical variable. Further, the operations include sorting the list of unique values by the respective mean values, resulting in a sorted list. The operations also include calculating respective derivatives of the respective mean values in the sorted list considering the respective mean values as a function and a number of the respective mean values in the sorted list as an independent variable. Additionally, the operations include determining a minimum derivative value over the sorted list and outputting the minimum derivative value as a resulting variable significance value.

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