METHOD AND DEVICE WITH CLASSIFICATION VERIFICATION

    公开(公告)号:US20210406688A1

    公开(公告)日:2021-12-30

    申请号:US17469590

    申请日:2021-09-08

    Abstract: A method and computing device with classification verification is provided. A processor-implemented method includes implementing a classification neural network to generate a classification result of data input to the classification neural network by generating, with respect to the input data, intermediate hidden values of one or more hidden layers of the classification neural network, generating the classification result of the input data based on the generated intermediate hidden values, and generating a determination of a reliability of the classification result by implementing a verification neural network, input the intermediate hidden values, to generate the determination of the reliability.

    METHOD AND APPARATUS WITH NEURAL NETWORK TO MEASURE PROCESS-SEQUENCES SIMILARITIES AND TRAINING THEREOF

    公开(公告)号:US20250149124A1

    公开(公告)日:2025-05-08

    申请号:US18890610

    申请日:2024-09-19

    Abstract: A training method for similarity measurement and a measuring apparatus for similarity measurement and operating method thereof are provided. A method, performed by a computing device, includes: based on a first training parameter, embedding vectors of first processes included in a first process-sequence and embedding vectors of second processes included in a second process-sequence, respectively; based on a second training parameter, mapping first embedding vectors respectively corresponding to the first processes to second embedding vectors respectively corresponding to the second processes; and based on a result of the mapping, determining a similarity score indicating a similarity between the first process-sequence and the second process-sequence.

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