Training ensemble models to improve performance in the presence of unreliable base classifiers
US11803780B2 · kind B2 · utility
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Key dates
| Filing date | Jun 1, 2020 |
| Grant date | Oct 31, 2023 |
| Priority date | — |
| Expiry date | Dec 22, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method for training base classifiers in a boosting algorithm includes optimally training base classifiers considering an unreliability model, and then using a scheme with an aggregator decoder that reverse-flips inputs using inter-classifier redundancy introduced in training.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.