System and method for scaled multinomial-dirichlet bayesian evidence fusion
US8781992B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jun 28, 2012 |
| Grant date | Jul 15, 2014 |
| Priority date | — |
| Expiry date | Feb 26, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A fusion method, implemented by one or more processors, for classifying a target having class types. The method includes: obtaining evidence from one or more classifiers, the evidence represented by scores from the one or more classifiers; representing the obtained evidence in a Bayesian context, where the Bayesian beliefs are obtained from the scores; obtaining new evidence, the new evidence represented by new scores from the classifiers; representing the obtained new evidence in an enhanced Bayesian context, where the enhanced Bayesian beliefs are obtained from the new scores; combining the scores and the new scores over multiple times; combining the evidence and the new evidence over multiple times; and using the combined scores and the combined evidence for each of the plurality of class types to classify the target.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.