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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.

Patent No.:

US 11782992 B1

PDFFull Text
Date of Patent:
Oct. 10, 2023

Filed:

Feb. 20, 2018

Method and apparatus of machine learning using a network with software agents at the network nodes and then ranking network nodes

Applicant:

Kyndi, Inc., San Mateo, CA (US);

Inventors:

Arun Majumdar, San Mateo, CA (US);

James Ryan Welsh, San Mateo, CA (US);

Assignee:

KYNDI, INC., San Mateo, CA (US);

Attorney:

Oblon, McClelland, Maier & Neustadt, L.L.P.

Primary Examiner:

Sherief Badawi

Assistant Examiner:

William P Bartlett

Int. Cl.
CPC ...
G06F 16/9535 (2019.01); G06F 16/28 (2019.01); G06F 16/901 (2019.01); G06F 17/16 (2006.01); H04L 41/046 (2022.01); G06N 5/043 (2023.01); G06N 20/00 (2019.01); G06N 3/006 (2023.01); H04L 41/16 (2022.01); G06N 20/20 (2019.01); H04L 41/147 (2022.01); G06N 10/00 (2022.01); G06F 16/2457 (2019.01); H04L 67/02 (2022.01);
U.S. Cl.
CPC ...
G06F 16/9535 (2019.01); G06F 16/24578 (2019.01); G06F 16/28 (2019.01); G06F 16/9024 (2019.01); G06F 17/16 (2013.01); G06N 3/006 (2013.01); G06N 5/043 (2013.01); G06N 10/00 (2019.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01); H04L 41/046 (2013.01); H04L 41/147 (2013.01); H04L 41/16 (2013.01); H04L 67/02 (2013.01);
Abstract

An apparatus and method are provided for rapidly ranking network nodes according to input ranking criteria. The links (i.e., first-order paths) between nodes are expressed in a first-order path matrix, which is used to generate nth-order path matrices as nth powers of the first-order path matrix and summed as a power series to generate a surrogate ranking operator (SRO) representing as a single matrix operation a sum over paths of all orders. Thus, in contrast to conventional ranking methods that require multiple recursive steps to account for the interrelatedness of linked nodes, a ranking is produced by multiplying the SRO by a state vector representing the input ranking criteria.

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