Adapting Bayesian network parameters on-line in a dynamic environment
US7685278B2 · kind B2 · utility
15Cited by
7References
23Claims
0Family size
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Key dates
| Filing date | Dec 18, 2001 |
| Grant date | Mar 23, 2010 |
| Priority date | — |
| Expiry date | Jun 8, 2025 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for adapting a Bayesian network includes determining a set of parameters for the Bayesian network, for example, initial parameters, and then updating the parameters in response to a set of observation data using an adaptive learning rate. The adaptive learning rate responds to any changes in the underlying modeled environment using minimal observation data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.