| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6928219 | Journal of Biomedical Informatics | 2015 | 9 Pages |
Abstract
- We propose an effective hybrid method for inferring Bayesian Networks with priors.
- Our method, SAGA, performs better than its components on high dimensional datasets.
- SAGA infers Bayesian Networks (BNs) with higher sensitivities and specificities.
- Inference with BNs is enhanced by the inclusion of prior network relationships.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Emmanuel S. Adabor, George K. Acquaah-Mensah, Francis T. Oduro,