Multi-class classification using a dual model
US12430400B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 15, 2021 |
| Grant date | Sep 30, 2025 |
| Priority date | — |
| Expiry date | Apr 20, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/24143
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for receiving a full training data set including a plurality of individual training data set, dividing the plurality of individual training sets into N classes, where N is an integer greater than three, dividing the N classes into M full data classes and N-M partial data classes, performing training to obtain a trained fixed size machine learning (ML) classification model and a trained in-class confidence model, outputting a first set of prediction value(s) based on the performance of training, distributing each class of the N classes of individual training data sets to a different node of a distributed machine learning system; and outputting, from the nodes of the distributed machine learning system, a second set of prediction value(s) for each class of the N classes.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.