Methods and systems for optimized selection of data features for a neuro-linguistic cognitive artificial intelligence system
US10853661B2 · kind B2 · utility
2Cited by
4References
18Claims
0Family size
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Key dates
| Filing date | Sep 4, 2018 |
| Grant date | Dec 1, 2020 |
| Priority date | — |
| Expiry date | Sep 4, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/197
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are disclosed to optimize feature selection in generating betas for a feature dictionary of a neuro-linguistic Cognitive AI System. A machine learning engine receives a sample vector of input data to be analyzed by the neuro-linguistic Cognitive AI System. The neuro-linguistic Cognitive AI System is configured to generate multiple betas for each of a plurality of sensors. The machine learning engine identifies a sensor specified in the sample vector and selects optimization parameters for generating betas based on the identified sensor.
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