Enhanced ensemble model diversity and learning
US11593716B2 · kind B2 · utility
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Key dates
| Filing date | Apr 11, 2019 |
| Grant date | Feb 28, 2023 |
| Priority date | — |
| Expiry date | Dec 29, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/259
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments for implementing enhanced ensemble model diversity and learning by a processor. One or more data sets may be created by combining one or more clusters of data points of a minority class with selected data points of a majority class. One or more ensemble models may be created from the one or more data sets using a supervised machine learning operation. An occurrence of an event may be predicted using the one or more ensemble models.
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