Determination of a basis for a new domain model based on a plurality of learned models
US8620837B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 11, 2011 |
| Grant date | Dec 31, 2013 |
| Priority date | — |
| Expiry date | Jan 17, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In a machine learning system in which a plurality of learned models, each corresponding to a unique domain, already exist, new domain input for training a new domain model may be provided. Statistical characteristics of features in the new domain input are first determined. The resulting new domain statistical characteristics are then compared with statistical characteristics of features in prior input previously provided for training at least some of the plurality of learned models. Thereafter, at least one learned model of the plurality of learned models is identified as the basis for the new domain model when the new domain input statistical characteristics compare favorably with the statistical characteristics of the features in the prior input corresponding to the at least one learned model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.