INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD

    公开(公告)号:US20240103470A1

    公开(公告)日:2024-03-28

    申请号:US18456209

    申请日:2023-08-25

    CPC classification number: G05B19/042

    Abstract: An information processing apparatus that updates a regression coefficient parameter based on a predetermined objective function including a regularization term for each of a plurality of elements characterized by a task and a feature value, the information processing apparatus comprising processing circuitry. The processing circuitry selects an element which is an update target of the regression coefficient parameter from the plurality of elements, fixes a value of the regularization term of an unselected element, selects a calculation expression for updating a regression coefficient parameter of the selected element based on a regression coefficient parameter of the unselected element, and updates the regression coefficient parameter of the selected element based on the selected calculation expression.

    INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD

    公开(公告)号:US20240095306A1

    公开(公告)日:2024-03-21

    申请号:US18453105

    申请日:2023-08-21

    CPC classification number: G06F17/18

    Abstract: An information processing apparatus comprising processing circuitry. The processing circuitry is configured to acquire objective variables and explanatory variables which are regression analysis targets, extract a plurality of first explanatory variables having a high degree of influence on the objective variable from among the explanatory variables by sparse modeling using a first regression equation, and extract a second explanatory variable having a high degree of influence on the plurality of first explanatory variables by sparse modeling using a second regression equation.

    INFORMATION PROCESSING DEVICE AND INFORMATION PROCESSING METHOD

    公开(公告)号:US20220076148A1

    公开(公告)日:2022-03-10

    申请号:US17191032

    申请日:2021-03-03

    Abstract: An information processing device has an inputter configured to input analysis target data including a plurality of explanatory variables, a screening processor configured to generate intermediate data with the number of the explanatory variables included in the analysis target data reduced by using a part of the plurality of explanatory variables as objective variables, a first feature amount extractor configured to extract a first feature amount from the intermediate data based on the objective variables, and a similar feature amount extractor configured to extract a similar feature amount from the intermediate data based on a degree of similarity between the explanatory variables included in the intermediate data and the first feature amount.

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