Data set filtering for machine learning
US11526849B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 5, 2019 |
| Grant date | Dec 13, 2022 |
| Priority date | — |
| Expiry date | Oct 13, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/022
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A device may determine an association between a second set of parameters and a third set of parameters using a pseudoinversion network and a multiple regression procedure. The device may determine semantic embeddings based on a set of semantic descriptions of the second set of parameters. The device may determine a semantic similarity between parameters of the second set of parameters based on the semantic embeddings. The device may determine a consistency error based on the semantic similarity. The device may generate, using a regression-based learning model technique, a matrix representing an association between the second set of parameters and the third set of parameters based on the association and the consistency error. The device may perform an action based on the matrix.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.