Linzner, Dominik and Schmidt, Michael and Koeppl, Heinz (2019):
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data.
In: Proceedings of Neural Information Processing Systems, In: 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, 09.12.-13.12.2019, [Online-Edition: https://arxiv.org/abs/1909.04570],
[Conference or Workshop Item]
Official URL: https://arxiv.org/abs/1909.04570
| Item Type: | Conference or Workshop Item |
|---|---|
| Erschienen: | 2019 |
| Creators: | Linzner, Dominik and Schmidt, Michael and Koeppl, Heinz |
| Title: | Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data |
| Language: | English |
| Title of Book: | Proceedings of Neural Information Processing Systems |
| Divisions: | 18 Department of Electrical Engineering and Information Technology 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications > Bioinspired Communication Systems 18 Department of Electrical Engineering and Information Technology > Institute for Telecommunications |
| Event Title: | 33rd Conference on Neural Information Processing Systems (NeurIPS 2019) |
| Event Location: | Vancouver, Canada |
| Event Dates: | 09.12.-13.12.2019 |
| Date Deposited: | 11 Sep 2019 12:27 |
| Official URL: | https://arxiv.org/abs/1909.04570 |
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