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:
Dec. 26, 2023

Filed:

Apr. 02, 2019
Applicant:

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

Inventors:

Patrick Watson, Montrose, NY (US);

Bishwaranjan Bhattacharjee, Yorktown Heights, NY (US);

Siyu Huo, White Plains, NY (US);

Noel Christopher Codella, White Plains, NY (US);

Brian Michael Belgodere, Fairfield, CT (US);

Parijat Dube, Yorktown Heights, NY (US);

Michael Robert Glass, Bayonne, NJ (US);

John Ronald Kender, Leonia, NJ (US);

Matthew Leon Hill, Yonkers, NY (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06N 3/04 (2023.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06N 3/04 (2013.01);
Abstract

Whether to train a new neural network model can be determined based on similarity estimates between a sample data set and a plurality of source data sets associated with a plurality of prior-trained neural network models. A cluster among the plurality of prior-trained neural network models can be determined. A set of training data based on the cluster can be determined. The new neural network model can be trained based on the set of training data.


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