Explainable machine learning models
US11176471B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 19, 2021 |
| Grant date | Nov 16, 2021 |
| Priority date | — |
| Expiry date | May 19, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/045
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for explainable machine learning. In one aspect, a method comprises: obtaining a collection of data elements characterizing an entity; generating a plurality of features that collectively define a feature representation of the entity from the collection of data elements characterizing the entity; processing the feature representation of the entity using a machine learning model to generate a prediction for the entity; generating evidence data characterizing data elements from the collection of data elements that explain the prediction generated by the machine learning model for the entity; and providing an output comprising the prediction for the entity and the evidence data characterizing data elements from the collection of data elements that explain the prediction for the entity.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.