SYSTEM AND METHOD FOR UNSUPERVISED MULTI-MODEL JOINT REASONING

    公开(公告)号:US20230110925A1

    公开(公告)日:2023-04-13

    申请号:US18074915

    申请日:2022-12-05

    IPC分类号: G06N5/02

    摘要: Method and system for predicting a label for an input sample. A first label is predicted for the input sample using a first machine learning (ML) model that has been trained to map samples to a first set of labels; If the first label satisfies prediction accuracy criteria it is outputted as the predicted label for the input sample; if the first label does not satisfy the prediction accuracy criteria, a second label is predicted for the input sample using a second ML model that has been trained to map samples to a second set of labels that includes the first set of labels and a set of additional labels, and the second label is outputted as the predicted label for the input sample.