Data mining technique with n-Pool evolution
US10025700B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 15, 2016 |
| Grant date | Jul 17, 2018 |
| Priority date | — |
| Expiry date | Jan 1, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/2465
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Roughly described, a training database contains N segments of data samples. Candidate individuals identify a testing experience level, a fitness estimate, a rule set, and a testing set TSi of the data samples on which it is tested. The testing sets have fewer than all of the data segments and they are not all the same. Testing involves testing on only the individual's assigned set of data segments, updating the fitness estimates and testing experience levels, and discarding candidates through competition. If an individual reaches a predetermined maturity level of testing experience, then validating involves further testing it on samples of the testing data from a testing data segment other than those in the individual's testing set TSi. Those individuals that satisfy validation criteria are considered for deployment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.