Systems and methods for secondary knowledge utilization in machine learning
US11250342B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 26, 2016 |
| Grant date | Feb 15, 2022 |
| Priority date | — |
| Expiry date | Sep 4, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/285
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A classifier is computed as follows. For a first set of values of primary field(s) of primary data instances of a labeled primary training dataset, a second set(s) of secondary fields of unclassified second data instances of secondary dataset(s) is identified. First set of values are matched to corresponding values in respective secondary field(s), and linked to other secondary fields of respective secondary data instance(s) of the respective matched secondary field. A set of classification features is generated. Each including: (i) condition(s), and (ii) a value selected from the linked other secondary fields of the respective secondary data instance(s) of the respective matched secondary field(s). The respective classification feature outputs a binary value computed by the condition(s) that compares between the value selected from the other linked secondary fields and a new received data instance. A classifier is computed according to a selected subset of the classification features.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.