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ev:2017:pdm_program [2017/10/24 15:45] konstantin |
ev:2017:pdm_program [2017/10/25 22:39] konstantin |
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| 12:26 | Kadilar | On the Graphical Markov Models with an Application| | | 12:26 | Kadilar | On the Graphical Markov Models with an Application| | ||
| 12:43 | Michaud | A stochastic heterogeneous mean-field approximation of agent-based models| | | 12:43 | Michaud | A stochastic heterogeneous mean-field approximation of agent-based models| | ||
- | | 13:00 | lunch break || | + | | 13:00 | group photo (in front of lecture hall), then lunch break || |
| // Working Group 3: Network Inference and Prediction // ||| | | // Working Group 3: Network Inference and Prediction // ||| | ||
| 14:00 | Elliott | A novel approach to network anomaly detection| | | 14:00 | Elliott | A novel approach to network anomaly detection| | ||
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| 10:00 | Fernandez-Gracia | Gromov-Wasserstein distance of complex networks| | | 10:00 | Fernandez-Gracia | Gromov-Wasserstein distance of complex networks| | ||
| 10:25 | Batagelj | Describing network evolution using probabilistic inductive classes| | | 10:25 | Batagelj | Describing network evolution using probabilistic inductive classes| | ||
- | | 10:35 | coffee break || | + | | 10:50 | coffee break || |
- | | 11:05 | Rancoita | Bayesian networks for data imputation in survival tree analysis| | + | | 11:20 | Rancoita | Bayesian networks for data imputation in survival tree analysis| |
- | | 11:30 | Signorelli |How to integrate gene enrichment analysis with information from gene interaction networks| | + | | 11:45 | Signorelli |How to integrate gene enrichment analysis with information from gene interaction networks| |
- | | 11:55 | Stadler | Gene Trees, Species Trees, Reconciliation Maps, and Phylogenenies| | + | | 12:10 | Stadler | Gene Trees, Species Trees, Reconciliation Maps, and Phylogenenies| |
- | | 12:30 | closing, lunch || | + | | 12:45 | closing, lunch || |