Efficient configuration selection for automated machine learning
US12223407B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | Aug 23, 2018 |
| Grant date | Feb 11, 2025 |
| Priority date | — |
| Expiry date | Jun 4, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In automated machine learning, an approximate best configuration can be selected among multiple candidate machine-learning configurations by progressively sampling training and test datasets for the iterative training and testing of the configurations while progressively pruning the set of candidate configurations based on associated estimated confidence intervals for their respective performance.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.