Parameter-dependent model-blending with multi-expert based machine learning and proxy sites
US10592818B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 14, 2015 |
| Grant date | Mar 17, 2020 |
| Priority date | — |
| Expiry date | Jun 23, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A parameter-based multi-model blending method and system are described. The method includes selecting a parameter of interest among parameters estimated by each of a set of individual models, running the set of individual models with a range of inputs to obtain a range of estimates of the parameters from each of the set of individual models, and identifying, for each of the set of individual models, critical parameters among the parameters estimated, the critical parameters exhibiting a specified correlation with an error in estimation of the parameter of interest. For each subspace of combinations of the critical parameters, obtaining a parameter-based blended model is based on blending the set of individual models in accordance with the subspace of the critical parameters, the subspace defining a sub-range for each of the critical parameters.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.