Systems and methods of generating datasets from heterogeneous sources for machine learning
US12159236B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | Nov 20, 2023 |
| Grant date | Dec 3, 2024 |
| Priority date | — |
| Expiry date | Nov 20, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/9024
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer system is provided that is programmed to select feature sets from a large number of features. Features for a set are selected based on metagradient information returned from a machine learning process that has been performed on an earlier selected feature set. The process can iterate until a selected feature set converges or otherwise meets or exceeds a given threshold.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.