Methods and systems for constructing Bayesian belief networks
US8078566B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 30, 2008 |
| Grant date | Dec 13, 2011 |
| Priority date | — |
| Expiry date | Jun 7, 2030 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems are described for simplifying a causal influence model that describes influence of parent nodes Xi (i=1, . . . , n) on possible states of the child node Y. The child node Y and each one of the parent nodes Xi (i=1, . . . , n) are assumed to be either a discrete Boolean node having states true and false, a discrete Ordinal node having a plurality of ordered states; and a Categorical node having a plurality of unordered states. The influence of each parent node Xi on the child node Y is assumed to be a promoting influence and an inhibiting influence. User interfaces are described that incorporate these specific node types.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.