Linzner, Dominik and Schmidt, Michael and Koeppl, Heinz (2019):
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data.
In: 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, 09.-13.12., [Online-Edition: http://papers.nips.cc/paper/8631-scalable-structure-learning...],
[Conference or Workshop Item]
| 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 |
| 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.-13.12. |
| Date Deposited: | 11 Sep 2019 12:27 |
| Official URL: | http://papers.nips.cc/paper/8631-scalable-structure-learning... |
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| Suche nach Titel in: | TUfind oder in Google |
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