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公开(公告)号:WO2023075960A1
公开(公告)日:2023-05-04
申请号:PCT/US2022/044651
申请日:2022-09-26
Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC.
Inventor: WU, Wenshan , XIA, Yan , MAO, Shaoguang , SOONG, Frank, Kao-Ping, K. , TIEN, Jonathan, Y.
Abstract: According to implementations of the subject matter described herein, there is provided a solution for error diagnosis and feedback. In the solution, a signal sequence is obtained; it is determined, based on a learning object, that an error is detected at a target position of the signal sequence; and a target error pattern corresponding to the target position of the signal sequence is detected. In accordance with a determination that the target error pattern matches one of a plurality of predetermined error patterns associated with the target position, a target feedback corresponding to the matched predetermined error patter is selected from a plurality of feedbacks corresponding to the plurality of predetermined error patterns; and the target feedback is provided. Through this solution, more accurate and effective feedback on different error patterns can be provided.
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公开(公告)号:WO2022015404A1
公开(公告)日:2022-01-20
申请号:PCT/US2021/032133
申请日:2021-05-13
Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
Inventor: MAO, Shaoguang , SOONG, Frank Kao-Ping K , XIA, Yan , TIEN, Jonathan Y.
Abstract: According to implementations of the present disclosure, there is provided a solution for sample assessment. In this solution, a set of comparison results is generated based on an input sample and a reference sample set. Each comparison result in the set of comparison results indicates a probability that a target attribute of the input sample is superior to the target attribute of a respective reference sample in the reference sample set. Then, at least one reference sample is determined from the reference sample set based on the set of comparison results. The at least one reference sample matches the input sample in terms of the target attribute. A score of the input sample with respect to the target attribute is determined based on a respective score of the at least one reference sample with respect to the target attribute.
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