Machine learning model for analysis of instruction sequences
US11074494B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 7, 2016 |
| Grant date | Jul 27, 2021 |
| Priority date | — |
| Expiry date | Sep 21, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In one respect, there is provided a system for classifying an instruction sequence with a machine learning model. The system may include at least one processor and at least one memory. The memory may include program code that provides operations when executed by the at least one processor. The operations may include: processing an instruction sequence with a trained machine learning model configured to detect one or more interdependencies amongst a plurality of tokens in the instruction sequence and determine a classification for the instruction sequence based on the one or more interdependencies amongst the plurality of tokens; and providing, as an output, the classification of the instruction sequence. Related methods and articles of manufacture, including computer program products, are also provided.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.