System and method for ensemble expert diversification
US11915114B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 31, 2020 |
| Grant date | Feb 27, 2024 |
| Priority date | — |
| Expiry date | Feb 4, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/043
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present teaching relates to method, system, medium, and implementations for machine learning. A training sample is first received from a source. A prediction is generated according to the training sample and based on one or more parameters associated with a model. A metric characterizing the prediction is also determined. The prediction and the metric are transmitted to the source to facilitate a determination on whether a ground truth label for the training sample is to be provided. When the ground truth label is received from the source, the one or more parameters of the model are updated based on the prediction and the ground truth label.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.