Classifying an instance using machine learning
US11881051B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 24, 2017 |
| Grant date | Jan 23, 2024 |
| Priority date | — |
| Expiry date | Apr 21, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/2528
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A communications device (100) for classifying an instance (110) using Machine Learning (ML) is provided. The communications device is operative to acquire a feature vector representing the instance, classify the instance using a local first ML model, calculate a confidence level, and, if the calculated confidence level is less than a threshold confidence level, acquire information identifying one or more other communications devices, and transmit a classification request message comprising the feature vector to the one or more other communications devices. The one or more other communications devices are selected based on at least one of: an identity of a user of the communications device, a contact list of the user, a type of data comprised in the feature vector, an origin of the feature vector, the classification of the instance using the local first ML model, a location of the communications device, a respective location of the one or more other communications devices, a location associated with the instance, and one or more classified instances which are related to the instance represented by the feature vector.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.