Data classification apparatus, data classification method and program

    公开(公告)号:US11934427B2

    公开(公告)日:2024-03-19

    申请号:US17792769

    申请日:2020-01-14

    CPC classification number: G06F16/285 G06N20/00

    Abstract: A data classification apparatus includes a data transformation unit that generates a feature vector by using classification target data, a classification estimation process observation unit that acquires, from a classification estimation unit that estimates classification of the classification target data and including a plurality of weak classifiers, observation information in a classification process based on the feature vector, and generates a classification estimation process feature vector based on the observation information, and an error determination unit that determines, in accordance with an input of the classification estimation process feature vector generated by the classification estimation process observation unit and a classification result output from the classification estimation unit to which the feature vector is input, whether the classification result is correct.

    Error determination apparatus, error determination method and program

    公开(公告)号:US11983249B2

    公开(公告)日:2024-05-14

    申请号:US17593398

    申请日:2020-03-24

    CPC classification number: G06F18/24323 G06F18/2411 G06F18/254 G06N20/00

    Abstract: An error determination device includes a class estimation process observation unit configured to acquire data in a process of being estimated, from a class estimation unit that estimates a class of data to be classified and generate an estimation process feature vector based on the acquired data; and an error determination unit configured to accept input of the estimation process feature vector generated by the class estimation process observation unit and a classification result output from the class estimation unit and determine whether the classification result is correct or incorrect based on the estimation process feature vector and the classification result, wherein the error determination unit is a functional part generated by machine learning based on an estimation process feature vector list created by adding a pseudo feature vector to an estimation process feature vector list generated by the class estimation process observation unit and on a learning error-correction list indicating that a class corresponding to the pseudo feature vector is incorrect.

    ERROR JUDGMENT APPARATUS, ERROR JUDGMENT METHOD AND PROGRAM

    公开(公告)号:US20210201087A1

    公开(公告)日:2021-07-01

    申请号:US17265867

    申请日:2019-08-05

    Abstract: An error determination apparatus includes a classification estimation process observation unit configured to acquire data in an estimation process from a classification estimation unit for estimating a classification of classification object data and generate a feature vector based on the data, and an error determination unit configured to receive the feature vector generated by the classification estimation process observation unit and a classification result output from the classification estimation unit and determine whether the classification result is correct based on the feature vector and the classification result.

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