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:
Oct. 08, 2024

Filed:

Dec. 09, 2020
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Bo Yang, Brighton, MA (US);

Chaofan Huang, Atlanta, GA (US);

Songtao Guo, Cupertino, CA (US);

Robert Perrin Reeves, Castro Valley, CA (US);

Wan Qi Gao, San Francisco, CA (US);

Patrick Ryan Driscoll, Oakland, CA (US);

Kristina Caroline Ryan, San Francisco, CA (US);

Michael Mario Jennings, San Francisco, CA (US);

Jeremy Lwanga, San Francisco, CA (US);

Manzarul Azad Kazi, Walnut Creek, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06F 18/20 (2023.01); G06F 18/21 (2023.01); G06F 18/2113 (2023.01); G06F 18/25 (2023.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 18/2113 (2023.01); G06F 18/2163 (2023.01); G06F 18/217 (2023.01); G06F 18/25 (2023.01); G06F 18/29 (2023.01);
Abstract

In an example embodiment, a model is trained to specifically identify reversal points in data and then to rank these reversal points in order of importance. A reversal point shall be defined as a point in which a particular metric, specifically a first order derivative, crosses over from positive to negative or vice-versa. Users are more likely to be interested in abnormal and significant changes in data, and thus the machine-learned model is trained to evaluate a reversal point based on two dimensions: abnormality and significance.


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