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:
Feb. 03, 2026

Filed:

Dec. 06, 2021
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Nikolaos Papandreou, Thalwil, CH;

Charalampos Pozidis, Thalwil, CH;

Milos Stanisavljevic, Adliswil, CH;

Jan Van Lunteren, Rüschlikon, CH;

Thomas Parnell, Zürich, CH;

Cedric Lichtenau, Stuttgart, DE;

Andrew M. Sica, Oxford, CT (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 18/2323 (2023.01); G06F 18/2411 (2023.01); G06N 5/01 (2023.01);
U.S. Cl.
CPC ...
G06F 18/2323 (2023.01); G06F 18/2411 (2023.01); G06N 5/01 (2023.01);
Abstract

A tensor representation of a machine learning inferences to be performed is built by forming complementary tensor subsets that respectively correspond to complementary subsets of one or more leaf nodes of one or more decision trees based on statistics of the one or more leaf nodes of the one or more decision trees and data capturing attributes of one or more split nodes of the one or more decision trees and the one or more leaf nodes of the decision trees. The complementary tensor subsets are ranked such that a first tensor subset and a second tensor subset of the complementary tensor subsets correspond to a first leaf node subset and a second leaf node subset of the complementary subsets of the one or more leaf nodes.


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