Automatically learning process characteristics for model optimization
US11829918B2 · kind B2 · utility
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Key dates
| Filing date | Mar 8, 2021 |
| Grant date | Nov 28, 2023 |
| Priority date | — |
| Expiry date | Jul 21, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/06393
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
Data characterizing inputs to a prediction process that classifies events, an output of the prediction process, and feedback data characterizing a performance of the outcome is monitored. A resource capacity affecting the outcome of the prediction process, and/or a cost-benefit affecting the outcome of the prediction process is determined from the monitoring. The determined resource capacity and/or the determined cost-benefit is provided. Related apparatus, systems, techniques and articles are also described.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.