Enhancing fairness in transfer learning for machine learning models with missing protected attributes in source or target domains
US11443236B2 · kind B2 · utility
1Cited by
4References
12Claims
0Family size
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Key dates
| Filing date | Nov 22, 2019 |
| Grant date | Sep 13, 2022 |
| Priority date | — |
| Expiry date | Dec 2, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method of utilizing a computing device to correct source data used in machine learning includes receiving, by the computing device, first data. The computing device corrects the source data via an application of a covariate shift to the source data based upon the first data where the covariate shift re-weighs the source data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.