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. 19, 2023

Filed:

Feb. 05, 2018
Applicants:

Sony Corporation, Tokyo, JP;

Sony Corporation of America, New York, NY (US);

Inventors:

Michael Bowling, Edmonton, CA;

Satinder Baveja, Ann Arbor, MI (US);

Peter Wurman, Acton, MA (US);

Assignees:

Sony Group Corporation, Tokyo, JP;

Sony Corporation of America, New York, NY (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 5/02 (2023.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06N 5/02 (2013.01); G06N 20/00 (2019.01);
Abstract

Systems and methods use deep, convolutional neural networks over exponentially long history windows to learn alphabets for context tree weighting (CTW) for prediction. Known issues of depth and breadth in conventional context tree weighting predictions are addressed by the systems and methods. To deal with depth, the history can be broken into time windows, permitting the ability to look exponentially far back while having less information the further one looks back. To deal with breadth, a deep neural network classifier can be used to learn to map arbitrary length histories to a small output symbol alphabet. The sequence of symbols produced by such a classifier over the history windows would then become the input sequence to CTW.


Find Patent Forward Citations

Loading…