Approximate online inference for dynamic Markov logic networks

Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI

Volumn , Issue , 2011, Pages 764-768

  Geier, Thomas ^a   Biundo, Susanne ^a  

^a UNIVERSITY OF ULM   (Germany)

Author keywords

Dynamic probabilistic inference; Markov logic networks; Online inference

Indexed keywords

BELIEF PROPAGATION; DYNAMIC DOMAINS; MARGINAL PROBABILITY; MARKOV LOGIC NETWORKS; ONLINE INFERENCE; PROBABILISTIC INFERENCE; PROBABILISTIC SYSTEMS; STATE VARIABLES;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; MARKOV PROCESSES; ONLINE SYSTEMS; PROBABILISTIC LOGICS;

INFERENCE ENGINES;

EID: 84855818982     PISSN: 10823409     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICTAI.2011.120     Document Type: Conference Paper

References (8)

1. M. Richardson and P. Domingos, "Markov logic networks," Machine Learning, vol. 62, no. 1-2, pp. 107-136, 2006. (Pubitemid 43202307)
2. S. Tran and L. Davis, "Event modeling and recognition using markov logic networks," Computer Vision-ECCV 2008, pp. 610-623, 2008.
3. A. Sadilek and H. Kautz, "Recognizing multi-agent activities from GPS data," in Proceedings of the 24th AAAI Conference on Artificial Intelligence, 2010, pp. 1134-1139.
4. A. Nath and P. Domingos, "Efficient lifting for online probabilistic inference," in Proceedings of the 24th AAAI Conference on Artificial Intelligence, 2010, pp. 1194-1198.
5. A. Nath and Domingos, "Efficient Belief Propagation for Utility Maximization and Repeated Inference," in Proceedings of the 24th AAAI Conference on Artificial Intelligence, 2010, pp. 1187-1192.
6. K. Kersting, B. Ahmadi, and S. Natarajan, "Counting belief propagation," in Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence. AUAI Press, 2009, pp. 277-284.
7. D. Helbing and P. Molnár, "Social force model for pedestrian dynamics," Phys. Rev. E, vol. 51, no. 5, pp. 4282-4286, 1995.
8. K. Murphy and Y. Weiss, "The factored frontier algorithm for approximate inference in DBNs," in Proceedings of the 17th Conference on Uncertainty in AI, 2001, pp. 378-385.