Generating ground truth for machine learning from time series elements
US10997461B2 · kind B2 · utility
4Cited by
1References
20Claims
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Key dates
| Filing date | Feb 1, 2019 |
| Grant date | May 4, 2021 |
| Priority date | — |
| Expiry date | Feb 18, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Sensor data, including a group of time series elements, is received. A training data set is determined, including by determining for at least a selected time series element in the group of time series elements a corresponding ground truth. The corresponding ground truth is based on a plurality of time series elements in the group of time series elements. A processor is used to train a machine learning model using the training dataset.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.