Hierarchical based sequencing machine learning model
US8812417B2 · kind B2 · utility
36Cited by
2References
25Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Aug 20, 2012 |
| Grant date | Aug 19, 2014 |
| Priority date | — |
| Expiry date | Aug 20, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A hierarchical based sequencing (HBS) machine learning model. In one example embodiment, a method of employing an HBS machine learning model to predict multiple interdependent output components of an MOD output decision may include determining an order for multiple interdependent output components of an MOD output decision. The method may also include sequentially training a classifier for each component in the selected order to predict the component based on an input and based on any previous predicted component(s).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.