Machine learning-based techniques for representing computing processes as vectors
US11645539B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 22, 2019 |
| Grant date | May 9, 2023 |
| Priority date | — |
| Expiry date | Mar 8, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/768
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Machine learning-based techniques for representing computing processes as vectors are provided. In one set of embodiments, a computer system can receive a name of a computing process and context information pertaining to the computing process. The computer system can further train a neural network based on the name and the context information, where the training results in determination of weight values for one or more hidden layers of the neural network. The computer system can then generate, based on the weight values, a vector representation of the computing process that encodes the context information and can perform one or more analyses using the vector representation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.