Ordering annotation sets for machine learning
US11966453B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 15, 2021 |
| Grant date | Apr 23, 2024 |
| Priority date | — |
| Expiry date | Aug 11, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments are disclosed for a method. The method includes receiving an annotation set for a machine learning model. The annotation set includes multiple data points relevant to a task for the machine learning model. The method also includes determining total weights corresponding to the data points. The total weights are determined based on multiple ordering constraints indicating multiple data classes and corresponding weights. The corresponding weights represent a relative priority of the data classes with respect to each other. The method further includes generating an ordered annotation set from the annotation set. The ordered annotation set includes the data points in a sequence based on the determined total weights.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.