Systems for second-order predictive data analytics, and related methods and apparatus
US11922329B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 20, 2019 |
| Grant date | Mar 5, 2024 |
| Priority date | — |
| Expiry date | Dec 11, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/06
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A predictive modeling method may include obtaining a fitted, first-order predictive model configured to predict values of output variables based on values of first input variables; and performing a second-order modeling procedure on the fitted, first-order model, which may include: generating input data including observations including observed values of second input variables and predicted values of the output variables; generating training data and testing data from the input data; generating a fitted second-order model of the fitted first-order model by fitting a second-order model to the training data; and testing the fitted, second-order model of the first-order model on the testing data. Each observation of the input data may be generated by (1) obtaining observed values of the second input variables, and (2) applying the first-order predictive model to corresponding observed values of the first input variables to generate the predicted values of the output variables.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.