Ensembling of neural network models
US11610131B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 6, 2020 |
| Grant date | Mar 21, 2023 |
| Priority date | — |
| Expiry date | Feb 22, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/092
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes determining, by a processor of a computing device, a subset of models included in a plurality of models generated based on a genetic algorithm and corresponds to a first epoch of the genetic algorithm. Each of the plurality of models includes data representative of a neural network. The method includes aggregating the subset of models to generate an ensembler. The ensembler, when executed on an input, provides at least a portion of the input to each model of the subset of models to generate a plurality of intermediate outputs. An ensembler output of the ensembler is based on the plurality of intermediate outputs. The method further includes executing the ensembler on input data to determine the ensembler output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.