Automated model building search space reduction
US10657447B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 29, 2018 |
| Grant date | May 19, 2020 |
| Priority date | — |
| Expiry date | Nov 29, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/0985
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes receiving, by a processor, an input data set. The input data set includes a plurality of features. The method includes determining, by the processor, one or more characteristics of the input data set. The method includes, based on the one or more characteristics, adjusting, by the processor, one or more architectural parameters of an automated model generation process. The automated model generation process is configured to generate a plurality of models using a weighted randomization process. The one or more architectural parameters weight the weighted randomization process to adjust a probability of generation of models having particular architectural features. The method further includes executing, by the processor, the automated model generation process to output a mode, the model including data representative of a neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.