Reweighting network for subsidiary features in a prediction network
US11880376B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 3, 2021 |
| Grant date | Jan 23, 2024 |
| Priority date | — |
| Expiry date | Dec 9, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In some embodiments, a method receives a sequence of subsidiary features that are associated with a sequence of main features. A subsidiary feature provides subsidiary information for a main feature. A sequence of first weights for the sequence of subsidiary features is generates where a first weight in the sequence of first weights is generated based on a respective subsidiary feature. The method processes the sequence of first weights to generate a sequence of second weights. The processing uses relationships in the sequence of first weights to generate values of the second weights. The method uses the sequence of second weights to process the sequence of main features to generate an output for the sequence of main features.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.