Method and system of data modelling
US8768659B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 18, 2009 |
| Grant date | Jul 1, 2014 |
| Priority date | — |
| Expiry date | Mar 30, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for modelling a dataset includes a training phase, wherein the dataset is applied to a non-stationary Gaussian process kernel in order to optimize the values of a set of hyperparameters associated with the Gaussian process kernel, and an evaluation phase in which the dataset and Gaussian process kernel with optimized hyperparameters are used to generate model data. The evaluation phase includes a nearest neighbor selection step. The method may include generating a model at a selected resolution.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.