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公开(公告)号:US11544796B1
公开(公告)日:2023-01-03
申请号:US16599607
申请日:2019-10-11
Applicant: Amazon Technologies, Inc.
Abstract: Devices and techniques are generally described for cross-domain machine learning. A first machine learning model may be trained using first data of a first domain. Predictions may be generated by inputting a plurality of domain data from other domains apart from the first domain into the first machine learning model. For each of the predictions, a prediction error may be determined. A grouping of similar domains from among the other domains may be determined based on the prediction errors. A second machine learning model may be trained for the grouping of similar domains.