Realtime multiple engine selection and combining
US8869277B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 30, 2010 |
| Grant date | Oct 21, 2014 |
| Priority date | — |
| Expiry date | May 4, 2031 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Architecture that selects a classification engine based on the expertise of the engine to process a given entity (e.g., a file). Selection of an engine is based on a probability that the engine will detect an unknown entity classification using properties of the entity. One or more of the highest ranked engines are activated in order to achieve the desired performance. A statistical, performance-light module is employed to skip or select several performance-demanding processes. Methods and algorithms are utilized for learning based on matching the best classification engine(s) to detect the entity class based on the entity properties. A user selection option is provided for specifying a maximum number of ranked, classification engines to consider for each state of the machine. A user can also select the minimum probability of detection for a specific entity (e.g., unknown file). The best classifications are re-evaluated over time as the classification engines are updated.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.