Methods and apparatus for conditional classifier chaining in a constrained machine learning environment
US10863329B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 19, 2018 |
| Grant date | Dec 8, 2020 |
| Priority date | — |
| Expiry date | Feb 14, 2039 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02D10/00
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Methods, apparatus, systems, and articles of manufacture for conditional classifier chaining in a constrained machine learning environment are disclosed. An example apparatus includes a classification controller to select a first model to be utilized to classify a first feature identified from sensor data. A memory controller is to copy the first model to a memory. A machine learning processor is to apply the first model to the first feature to create a first classification output, the first classification output indicating an identified class. The classification controller is to, in response to a determination that the first classification output identifies a second model to be used for classification, instruct the memory controller to load the second model into the memory. The machine learning processor is to apply the second model to the second feature to create a second classification output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.