Deep forest model development and training
US11893499B2 · kind B2 · utility
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Key dates
| Filing date | Mar 12, 2019 |
| Grant date | Feb 6, 2024 |
| Priority date | — |
| Expiry date | Jan 19, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Automated development and training of deep forest models for analyzing data by growing a random forest of decision trees using data, determining Out-of-bag (OOB) predictions for the forest, appending the OOB predictions to the data set, and growing an additional forest using the data set including the appended OOB predictions, and combining the output of the additional forest, then utilizing the model to classify data outside the training data set.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.