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:
Sep. 10, 2024

Filed:

Aug. 07, 2018
Applicant:

Amadeus S.a.s., Biot, FR;

Inventors:

Zhongfang Zhuang, Worcester, MA (US);

Aditya Arora, Sophia Antipolis, FR;

Jihane Zouaoui, Sophia Antipolis, FR;

Xiangnan Kong, New Haven, CT (US);

Elke Rundensteiner, Acton, MA (US);

Assignee:

Amadeus S.A.S., Biot, FR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/084 (2023.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01);
Abstract

Machine learning systems and methods for embedding attributed sequence data. The attributed sequence data includes an attribute data part having a fixed number of attribute data elements and a sequence data part having a variable number of sequence data elements. An attribute network module includes a feedforward neural network configured to convert the attribute data part to an encoded attribute vector having a first number of attribute features. A sequence network module includes a recurrent neural network configured to convert the sequence data part to an encoded sequence vector having a second number of sequence features. In use, the machine learning system learns and outputs a fixed-length feature representation of input attributed sequence data which encodes dependencies between different attribute data elements, dependencies between different sequence data elements, and dependencies between attribute data elements and sequence data elements within the attributed sequence data.


Find Patent Forward Citations

Zhuang, Zhongfang. (2024). Machine learning systems and methods for attributed sequences (U.S. Patent No. 12086718). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12086718

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