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. 17, 2025

Filed:

Dec. 30, 2020
Applicant:

Robert Bosch Gmbh, Stuttgart, DE;

Inventors:

Martin Schiegg, Korntal-Muenchingen, DE;

Muhammad Bilal Zafar, Berlin, DE;

Assignee:

ROBERT BOSCH GMBH, Stuttgart, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 17/18 (2006.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 17/18 (2013.01); G06N 3/045 (2023.01);
Abstract

A machine learning system and method of operating a machine learning system for determining a time series, comprising providing an input for a first in particular generative model depending on a probabilistic variable, determining an output of the first model in response to the input for the first model, the output of the first model characterizing the time series. The first model comprises a first layer that is trained to map input for the first model determined depending on the probabilistic variable to output characterizing intermediate data, and a second layer that is trained to map the intermediate data to the time series depending on an output of a third layer of the first model. The output of the third layer characterizes a physical constraint to a machine state. Values of the time series or of the intermediate data are constrained by the output of the third layer.


Find Patent Forward Citations

Schiegg, Martin. (2025). Computer implemented machine learning system and a method for operating the machine learning system for determining a time series (U.S. Patent No. 12333390). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12333390

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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