Training a machine learning model for analysis of instruction sequences
US10922604B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 7, 2016 |
| Grant date | Feb 16, 2021 |
| Priority date | — |
| Expiry date | May 6, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In one respect, there is provided a system for training a neural network adapted for classifying one or more instruction sequences. The system may include at least one processor and at least one memory. The memory may include program code which when executed by the at least one processor provides operations including: training, based at least on training data, a machine learning model to detect one or more predetermined interdependencies amongst a plurality of tokens in the training data; and providing the trained machine learning model to enable classification of one or more instruction sequences. Related methods and articles of manufacture, including computer program products, are also provided.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.