Machine learning techniques for generating predictions based on incomplete data
US12387084B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 29, 2024 |
| Grant date | Aug 12, 2025 |
| Priority date | — |
| Expiry date | Apr 19, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques for training a prediction model are disclosed. An example method includes processing historical event data comprising a plurality of computer-readable events for a resource to determine previous parameters for the resource. The method also includes generating training data for training the prediction model without using a forecast for future utilization of the resource. The training data comprises a set of proxies generated from previous parameters for the resource. Each proxy is associated with a remaining capacity of the resource and a remaining time to expiration of the resource. The method also includes training the prediction model to generate a mapping from the remaining capacity of the resource and the remaining time to expiration of the resource to the proxy. The method also includes receiving a request that describes a potential future event pertaining to the resource and generating a prediction for the potential future event using the prediction model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.