Continuous learning-based application related trade-off resolution and implementation
US11972251B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 21, 2021 |
| Grant date | Apr 30, 2024 |
| Priority date | — |
| Expiry date | Oct 23, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/022
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In some examples, continuous learning-based application related trade-off resolution and implementation may include generating, based on a plurality of historical tradeoff instances, an application feature matrix. Further, association rules for historical tradeoff instances for which decisions are not known, and a decision tree for historical tradeoff instances for which decisions are known may be generated. Decision rules may be induced, and default rules may be applied to a cold start scenario. The decision rules and the default rules may be refined to generate refined rules, and a confidence level may be determined for the refined rules. The refined rules may be prioritized based on the confidence level and applied to a new tradeoff instance to generate a resolution associated with the new tradeoff instance. The resolution may be implemented with respect to the new tradeoff instance.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.