Research map / Probabilistic and scientific modeling / Dynamical systems
Group Sparse Bayesian Learning for Active Surveillance on Epidemic Dynamics
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use SNMA instead of group Lasso or GPs-MI | Synthetic linear and logistic systems · Synthetic data | sentinel identification failure rate | Helped |
| Use SNMA instead of group Lasso or GPs-MI | Synthetic linear and logistic systems · Synthetic data | RMSE | Helped |
| Use SNMA instead of group Lasso or GPs-MI | Hong Kong H1N1 flu dynamics · 2009 Hong Kong H1N1 flu pandemic | RMSE | Helped |
| Use SNMA instead of group Lasso or GPs-MI | Tengchong malaria dynamics · 2005–2009 Tengchong malaria outbreak | RMSE | Helped |
| Use SNMA instead of group Lasso | Baidu Tieba hot-word diffusion · Baidu Tieba | RMSE | Helped |
| Increase the number of selected sentinels | Linear-system prediction · Synthetic data | prediction error | Mixed |
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