Machine learning system for generating predictions according to varied attributes
US12249423B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 18, 2023 |
| Grant date | Mar 11, 2025 |
| Priority date | — |
| Expiry date | Dec 18, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/044
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method includes receiving a group of sets. Each set has values for immutable attributes that match values for at least one mutable attribute in a prediction request. The method includes generating a deviation model based on the group of sets. The method includes generating multiple sets of likely mutable attribute values using the deviation model. The method includes automatically selecting a neural network based on at least one of the likely mutable attribute values. The neural network includes a set of layers. Each layer includes a set of nodes. A first layer receives inputs at the set of nodes of the input layer. A last layer outputs, from the neural network, outputs modified by a preceding layer. The method includes generating a likelihood corresponding to the at least one mutable attribute in the prediction request using the neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.