Interactive learning
US9665831B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 24, 2014 |
| Grant date | May 30, 2017 |
| Priority date | — |
| Expiry date | Nov 20, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system and method are provided for shared machine learning. The method includes providing a model to a plurality of agents included in a machine learning system. The model specifies attributes and attribute value data types for an event in which the agents act. The method further includes receiving agent-provided inputs during an instance of the event. The agent-provided inputs include estimated attribute values that are consistent with the attribute value data types. The method also includes determining expertise weights for at least some agents in response to at least one ground-truth which is learned from the estimated attribute values. The method additionally includes determining an estimate value for one or more of the attributes using respective adaptive mixtures of the estimated attribute values.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.