Systems and methods for unsupervised feature selection for online machine learning
US12299542B2 · kind B2 · utility
0Cited by
0References
15Claims
0Family size
Assignee
Inventor
Key dates
| Filing date | Jul 24, 2020 |
| Grant date | May 13, 2025 |
| Priority date | — |
| Expiry date | Jul 21, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/088
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for unsupervised feature selection for online machine learning are provided. Features can be selected from a plurality of online data sources having a plurality of respective online data streams, and an aggregated feature set and aggregated data can be formed therefrom. The aggregated feature set and the aggregated data can be used by machine learning models in real time to provide real time online machine learning.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.