Selective distribution of machine-learned models
US10200457B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 26, 2016 |
| Grant date | Feb 5, 2019 |
| Priority date | — |
| Expiry date | Feb 25, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Machine-learned models are selectively distributed to a plurality of computer servers according to conditions associated with the computer servers. A server receives travel information from a travel coordination system. The travel information describes a plurality of conditions. The server identifies a hierarchy of one or more parent-child relationships based on the plurality of conditions. The server trains machine-learned models using the plurality of conditions described by the travel information. The server selects machine-learned models for the plurality of conditions responsive to the identified hierarchy. The server distributes machine-learned models to the plurality of computer servers responsive to the identified hierarchy.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.