Methods for development of a machine learning system through layered gradient boosting
US11853906B1 · kind B1 · utility
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Key dates
| Filing date | Apr 17, 2023 |
| Grant date | Dec 26, 2023 |
| Priority date | — |
| Expiry date | Apr 17, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q40/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A layered machine learning system for processing data. The machine learning system comprises decision trees with different depths. An iterative training process is performed on the layered machine learning system to determine the structures of the decision trees based on prior predictions. The fitted decision trees are further configured to update leaf values with a gradient boosting method. By cumulating the predictions of decisions trees in prior iterations, interaction effects are modeled among different depths within the layered machine learning system.
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