Application execution control utilizing ensemble machine learning for discernment
US10235518B2 · kind B2 · utility
3Cited by
22References
33Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Feb 6, 2015 |
| Grant date | Mar 19, 2019 |
| Priority date | — |
| Expiry date | Feb 6, 2035 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1441
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described are techniques to enable computers to efficiently determine if they should run a program based on an immediate (i.e., real-time, etc.) analysis of the program. Such an approach leverages highly trained ensemble machine learning algorithms to create a real-time discernment on a combination of static and dynamic features collected from the program, the computer's current environment, and external factors. Related apparatus, systems, techniques and articles are also described.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.