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:
Oct. 15, 2024

Filed:

Jan. 14, 2021
Applicant:

Visa International Service Association, San Francisco, CA (US);

Inventors:

Zhongfang Zhuang, Sunnyvale, CA (US);

Michael Yeh, Palo Alto, CA (US);

Liang Wang, San Jose, CA (US);

Wei Zhang, Fremont, CA (US);

Junpeng Wang, San Jose, CA (US);

Assignee:

Visa International Service Association, San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01);
Abstract

Described are a system, method, and computer program product for multivariate event prediction using multi-stream recurrent neural networks. The method includes receiving event data from a sample time period and generating feature vectors for each subperiod of each day. The method also includes providing the feature vectors as inputs to a set of first recurrent neural network (RNN) models and generating first outputs for each RNN node. The method further includes merging the first outputs for each same subperiod to form aggregated time-series layers. The method further includes providing the aggregated time-series layers as an input to a second RNN model and generating final outputs for each RNN node of the second RNN model.


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