Parallelization of bayesian network structure learning
US7870081B2 · kind B2 · utility
5Cited by
8References
12Claims
0Family size
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Key dates
| Filing date | Dec 31, 2004 |
| Grant date | Jan 11, 2011 |
| Priority date | — |
| Expiry date | Jun 4, 2027 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A master computing node directs parallel structure learning with intelligent computational task distribution. The master computing node may determine what families are to be used to score neighbors in a neighbor scoring process, and determine if the families have scores in a score cache. Families to be scored for the score cache may be marked and distributed for calculation among nodes in the computing cluster. The score cache may be updated to include the scored families, and the cluster synchronized with the score cache data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.