Machine learning variable selection and root cause discovery by cumulative prediction
US12223012B2 · kind B2 · utility
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Key dates
| Filing date | Oct 16, 2020 |
| Grant date | Feb 11, 2025 |
| Priority date | — |
| Expiry date | Aug 11, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A sequence of models accumulates r-squared values for an increasing number of variables in order to quantify the importance of each variable to the prediction of a targeted yield or parametric response.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.