公开(公告)号：US20250156765A1

公开(公告)日：2025-05-15

申请号：US19019926

申请日：2025-01-14

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Quanyu DAI ,  Peng WU ,  Haoxuan LI ,  Zhenhua DONG ,  Ruiming TANG

IPC: G06N20/00

Abstract: Embodiments of this application disclose a model training method and a related apparatus, to improve a generalization capability of a prediction model. The method in embodiments of this application includes: calculating a loss function of an error imputation model based on a first error of a prediction result of a prediction model for first sample data, a first output of the error imputation model, and a probability that the first sample data is observed; and then updating a parameter of the error imputation model based on the loss function of the error imputation model, where the first output of the error imputation model represents a predicted value of the first error, the loss function of the error imputation model includes a bias term and a variance term.