Invention Grant
- Patent Title: Method and apparatus of machine learning using a network with software agents at the network nodes and then ranking network nodes
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Application No.: US16486523Application Date: 2018-02-20
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Publication No.: US11782992B2Publication Date: 2023-10-10
- Inventor: Arun Majumdar , James Ryan Welsh
- Applicant: KYNDI, INC.
- Applicant Address: US CA San Mateo
- Assignee: KYNDI, INC.
- Current Assignee: KYNDI, INC.
- Current Assignee Address: US CA San Mateo
- Agency: Oblon, McClelland, Maier & Neustadt, L.L.P.
- International Application: PCT/US2018/018833 2018.02.20
- International Announcement: WO2018/152534A 2018.08.23
- Date entered country: 2019-08-16
- Main IPC: G06F16/9535
- IPC: G06F16/9535 ; G06F16/28 ; G06F16/901 ; G06F17/16 ; H04L41/046 ; G06N5/043 ; G06N20/00 ; G06N3/006 ; H04L41/16 ; G06N20/20 ; H04L41/147 ; G06N10/00 ; G06F16/2457 ; H04L67/02

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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