公开(公告)号：US12033048B1

公开(公告)日：2024-07-09

申请号：US17107820

申请日：2020-11-30

Applicant: Amazon Technologies, Inc.

Inventor： Laurent Callot ,  Jasmeet Chhabra ,  Lifan Chen ,  Ming Chen ,  Tim Januschowski ,  Andrey Kan ,  Luyang Kong ,  Baris Kurt ,  Pramuditha Perera ,  Mostafa Rahmani ,  Parminder Bhatia

IPC: H04L29/06 ,  G06F18/214 ,  G06N20/20

CPC classification number: G06N20/20 ,  G06F18/214

Abstract: Techniques for performing anomaly detection are described. An exemplary method includes receiving a request to detect potential anomalies using an anomaly detection system having at least one anomaly scoring model; processing the received data using the anomaly detection system to score the data to determine when the data is potentially anomalous based on one or more thresholds; requesting feedback of at least one determined potential anomaly; receiving feedback on the least one determined potential anomaly; and adjusting at least one of one or more of thresholds used to determine potential anomalies and what is considered an anomaly without adjusting the at least one anomaly scoring model.

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.

Inventor： Moustafa Abdalla Mohamed ,  Lifan Chen ,  Sandesh Govind Shridhar ,  Raghava Gupta Valiveti

IPC: G06K9/62 ,  G06Q40/00 ,  G06Q10/08 ,  G06N3/04 ,  G06F17/16 ,  G06N20/00 ,  G06Q20/20 ,  G06Q30/02

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.