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:
Jun. 20, 2023

Filed:

Dec. 27, 2019
Applicant:

Samsung Electronics Co., Ltd., Gyeonggi-Do, KR;

Inventors:

Yu Wang, Bellevue, WA (US);

Yilin Shen, Mountain View, CA (US);

Yue Deng, Sunnyvale, CA (US);

Hongxia Jin, San Jose, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/084 (2023.01); G06N 20/20 (2019.01); G06F 18/241 (2023.01); G06N 3/045 (2023.01); G06V 10/764 (2022.01); G06V 10/778 (2022.01); G06V 10/94 (2022.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06F 18/241 (2023.01); G06N 3/045 (2023.01); G06N 20/20 (2019.01); G06V 10/764 (2022.01); G06V 10/7784 (2022.01); G06V 10/94 (2022.01);
Abstract

Intent determination based on one or more multi-model structures can include generating an output from each of a plurality of domain-specific models in response to a received input. The domain-specific models can comprise simultaneously trained machine learning models that are trained using a corresponding local loss metric for each domain-specific model and a global loss metric for the plurality of domain-specific models. The presence or absence of an intent corresponding to one or more domain-specific models can be determined by classifying the output of each domain-specific model.


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