Predictive outputs in the presence of entity-dependent classes
US11934923B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 11, 2021 |
| Grant date | Mar 19, 2024 |
| Priority date | — |
| Expiry date | Aug 11, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
The quality of predictive model outputs is improved by improving input data in the cases where entities in the input data are associated with one or more classes, computed at least in part from one or more subsets of the input data. Class association function characteristic data is derived from information describing a class association function that generates input data from source data. The class association function characteristic data comprises inferences relating to operation of the class association function that are not derivable solely from the input data. The input data is transformed into improved input data using a constructed class-specific transformation function and the class association function characteristic data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.