Patent ID: 11928182
Assignee: AMAZON TECHNOLOGIES, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 15:
16. One or more non-transitory computer-accessible storage media storing program instructions that when executed on or across one or more processors cause the one or more processors to:
implement a plurality of training iterations for a machine learning task, wherein a particular training iteration comprises:
generating, using at least a portion of a labeled data set associated with the machine learning task, a first version of a stacking model from a second version of the stacking model, wherein the older version corresponds to a previous training iteration;
obtaining, from the first version of the stacking model, respective proposed labels corresponding to individual records of a set of unlabeled records associated with the machine learning task; and
generating, using the records of the set and the respective proposed labels, respective first versions of one or more base models from second versions of the one or more base models corresponding to the previous training iteration; and

store, after the plurality of training iterations is completed, a trained ensemble of models for the machine learning task, including the stacking model and at least one base model, wherein the trained ensemble of models is obtained from a selected iteration of the plurality of training iterations.