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公开(公告)号:US12238129B2
公开(公告)日:2025-02-25
申请号:US17783240
申请日:2020-11-17
Applicant: Microsoft Technology Licensing, LLC
Inventor: Congrui Huang , Yujing Wang , Bixiong Xu , Guodong Xing , Mao Yang , Jie Tong , Jing Bai , Meng Ai , Qi Zhang
Abstract: Methods and apparatuses for implementing customized anomaly detection. A time-series data including a plurality of data points is obtained. Anomaly detection is performed to the time-series data with an anomaly detection model. A feedback associated with an anomaly detection result of at least one data point in the time-series data is received. The anomaly detection model is updated based at least on the feedback through reinforcement learning.
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公开(公告)号:US20230029794A1
公开(公告)日:2023-02-02
申请号:US17783240
申请日:2020-11-17
Applicant: Microsoft Technology Licensing, LLC
Inventor: Congrui Huang , Yujing Wang , Bixiong Xu , Guodong Xing , Mao Yang , Jie Tong , Jing Bai , Meng Ai , Qi Zhang
Abstract: Methods and apparatuses for implementing customized anomaly detection. A time-series data including a plurality of data points is obtained. Anomaly detection is performed to the time-series data with an anomaly detection model. A feedback associated with an anomaly detection result of at least one data point in the time-series data is received. The anomaly detection model is updated based at least on the feedback through reinforcement learning.
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