公开(公告)号：US20240119295A1

公开(公告)日：2024-04-11

申请号：US18013053

申请日：2022-01-07

Applicant: Google LLC

Inventor： Rishi Saket ,  Aravindan Raghuveer ,  Balaraman Ravindran

IPC: G06N3/09

CPC classification number: G06N3/09

Abstract: Example aspects of the present disclosure relate to an example method. The example method includes obtaining, by a computing system comprising one or more processors, a plurality of data bags. In the example method, each respective data bag of the plurality of data bags comprises a respective plurality of instances and is respectively associated with one or more proportion labels. The example method also includes generating, by the computing system, a plurality of training bags from the plurality of data bags according to a plurality of weights. In the example method, the training bags are generated such that a bag-level predicted proportion label error by a machine-learned prediction model over the plurality of training bags correlates to an instance-level predicted proportion label error by the machine-learned prediction model.