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:
Mar. 18, 2025

Filed:

Aug. 26, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Yi Qin Yu, Beijing, CN;

Shiwan Zhao, Beijing, CN;

Jing Mei, Beijing, CN;

Shao Chun Li, Beijing, CN;

Xu Min, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06F 18/2431 (2023.01); G06N 3/08 (2023.01); G16H 10/60 (2018.01);
U.S. Cl.
CPC ...
G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06F 18/2431 (2023.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G16H 10/60 (2018.01);
Abstract

Embodiments of the present disclosure relate to a method, system, and computer program product for domain adaptation. According to the method, a source model of a source domain is obtained, where the source model is trained to generate a label indicating a predicted category of data from the source domain. A training sample from a target domain is obtained, where the training sample comprises training data from the target domain and a true label indicating a true category of the training data from the target domain. A first label is generated for the training data by using the source model. The first label indicates a predicted category of the training data. A target model of the target domain is trained based on the training data, the true label and the first label.


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