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.
Patent No.:
Date of Patent:
May. 28, 2024
Filed:
Aug. 13, 2019
Applicant:
Robert Bosch Gmbh, Stuttgart, DE;
Inventor:
Konrad Groh, Stuttgart, DE;
Assignee:
ROBERT BOSCH GMBH, Stuttgart, DE;
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06F 18/211 (2023.01); G06F 18/214 (2023.01); G06F 18/241 (2023.01); G06F 18/2431 (2023.01); G06N 3/082 (2023.01);
U.S. Cl.
CPC ...
G06N 3/082 (2013.01); G06F 18/211 (2023.01); G06F 18/214 (2023.01); G06F 18/241 (2023.01); G06F 18/2431 (2023.01); G06N 3/08 (2013.01);
Abstract
A method for parameterizing a machine learning system, in particular a neural network, that is configured to ascertain in each case an associated class of a plurality of classes from input data. The machine learning system is trained once with correctly labeled training data, and once with not correctly labeled training data. Hyperparameters of the machine learning system are selected in such a way that the particular trained machine learning system may reproduce actual classifications of the correctly labeled training data better than actual classifications of the not correctly labeled training data.