The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 14, 2024

Filed:

Nov. 27, 2020
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Barath Balasubramanian, Bothell, WA (US);

Rahul Bhotika, Bellevue, WA (US);

Niels Brouwers, New York, NY (US);

Ranju Das, Seattle, WA (US);

Prakash Krishnan, Oakland, NJ (US);

Shaun Ryan James Mcdowell, Great Neck, NY (US);

Anushri Mainthia, Seattle, WA (US);

Rakesh Madhavan Nambiar, Seattle, WA (US);

Anant Patel, Seattle, WA (US);

Avinash Aghoram Ravichandran, Shoreline, WA (US);

Joaquin Zepeda Salvatierra, Mercer Island, WA (US);

Gurumurthy Swaminathan, Redmond, WA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 9/451 (2018.01); G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06N 3/088 (2023.01); G06N 3/09 (2023.01); G06V 10/70 (2022.01); G06V 10/774 (2022.01); G06V 10/778 (2022.01); H04L 9/40 (2022.01);
U.S. Cl.
CPC ...
G06F 18/2148 (2023.01); G06F 9/451 (2018.02); G06F 18/2155 (2023.01); G06F 18/2178 (2023.01); G06N 3/088 (2013.01); G06N 3/09 (2023.01); G06N 20/00 (2019.01); G06V 10/70 (2022.01); G06V 10/7753 (2022.01); G06V 10/7784 (2022.01); H04L 63/1425 (2013.01); G06T 2207/20081 (2013.01);
Abstract

Techniques for anomaly detection are described. An exemplary method includes receiving one or more requests to train an anomaly detection machine learning model using feedback-based training, the request to indicate one or more of a type of analysis to perform, a model selection indication, and a configuration for a training dataset; training the anomaly detection machine learning model according to the one or more requests using the training data; performing feedback-based training on the trained anomaly detection machine learning model; and using the retrained anomaly detection machine learning model.


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