Hotspot detection based on machine learning
US8402397B2 · kind B2 · utility
109Cited by
7References
14Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Jul 26, 2011 |
| Grant date | Mar 19, 2013 |
| Priority date | — |
| Expiry date | Jul 26, 2031 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02P90/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Aspects of the invention relate to machine-learning-based hotspot detection techniques. These hotspot detection techniques employ machine learning models constructed using two feature encoding schemes. When two-level machine learning methods are also employed, a total four machine learning models are constructed: scheme-one level-one, scheme-one level-two, scheme-two level-one and scheme-two level-two. The four models are applied to test patterns to derive scheme-one hotspot information and scheme-two hotspot information, which are then used to determine final hotspot information.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.