Patent ID: 11861478
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 10:
11. A machine learning model training apparatus, comprising:
a memory; and
one or more processors configured to:
train a machine learning model using features of samples in a training set, wherein a sample in the training set corresponds to an initial first weight and an initial second weight;
in one iteration of training the machine learning model,
determine a first sample set comprising one or more samples whose corresponding target variables are incorrectly predicted based on predicted losses of the samples in the training set;
determine an overall predicted loss of the first sample set based on the predicted losses and corresponding first weights of the one or more samples in the first sample set;
update the first weights and second weights of the one or more samples in the first sample set based on the overall predicted loss of the first sample set; and
input the second weights, the features, and the target variables of the samples in the training set to the machine learning model, and initiate a next iteration of training the machine learning model.