Method of continual-learning of data sets and apparatus thereof
US11620529B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Dec 6, 2019 |
| Grant date | Apr 4, 2023 |
| Priority date | — |
| Expiry date | Aug 19, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/044
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
This disclosure relates to a method of sequential machine learning of data sets and an apparatus thereof. The method may include generating a first machine learning model by generating a first feature space based on a first data set, generating first predictive label information based on the first feature space, performing machine learning on a relationship between the first data set and first label information related to a first data set, and performing machine learning on a relationship between the first predictive label information and the first feature space. The method may also include generating a second machine learning model based on the first machine learning model by generating a second feature space based on a second data set, generating second predictive label information based on the second feature space, and performing machine learning on a relationship between the second data set and a second label information.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.