Machine-learned model selection network planning
US11853657B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Feb 28, 2019 |
| Grant date | Dec 26, 2023 |
| Priority date | — |
| Expiry date | Aug 30, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0202
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for data modelling. One method includes receiving a plurality of data points representing training data, and generating a plurality of models based on the training data, each of the plurality of models using at least one a different modelling methodology or a different portion of the training data. The method also includes receiving an input representing a requested prediction, generating an output based on the input using each of the plurality of models, providing the output generated by each of the plurality of models and the training data to a machine learning algorithm, generating, with the machine learning algorithm, the requested prediction using the output generated by each of the plurality of models and the training data, and outputting the requested prediction for display to a user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.