Lifted Junction Tree Algorithm-Reference-Cited by-同舟云学术

Lifted Junction Tree Algorithm

Published:2016 Issue: Volume: Page:30-42
ISSN:0302-9743
Container-title:KI 2016: Advances in Artificial Intelligence
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Author:

Braun Tanya,Möller Ralf

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-46073-4_3

Reference19 articles.

1. Ahmadi, B., Kersting, K., Mladenov, M., Natarajan, S.: Exploiting symmetries for scaling loopy belief propagation and relational training. Mach. Learn. 92, 91–132 (2013). Kluwer Academic Publishers, Hingham

2. Braun, T.: Lifted junction tree algorithm. Technical report, Universität zu Lübeck (2016)

3. de Salvo Braz, R.: Lifted first-order probabilistic inference. Ph.D. thesis, University of Illinois at Urbana-Champaign (2007)

4. Van den Broeck, G.: Lifted inference and learning in statistical relational models. Ph.D. thesis, KU Leuven (2013)

5. Chavira, M., Darwiche, A.: Compiling bayesian networks using variable elimination. In: Proceedings of the 20th International Joint Conference on Artificial Intelligence. Morgan Kaufman, San Francisco (2007)

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