Decision recommendation via causal feature display
US12293304B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | May 19, 2021 |
| Grant date | May 6, 2025 |
| Priority date | — |
| Expiry date | Mar 7, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described is a system for generating and displaying decision recommendations. The system receives historical observations and courses of action corresponding to the historical observations. A conditional density between the historical observations and the courses of action is estimated, and the historical observations are clustered according to the conditional density to obtain observational clusters. Observational clusters are merged to determine a causal partition having corresponding causal features which map to various courses of action. A new observation is mapped to the causal partition and a ranking of courses of action for the new observation is computed. A visualization of causal features and a ranking of courses of actions corresponding to the new observation is provided to a display.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.