Archived Publications (Latest: https://linqs.github.io/linqs-website/publications/)

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M. desJardins, Rathod, P., and Getoor, L., Bayesian Network Learning with Abstraction Hierarchies and Context-Specific Independence, in 16th European Conference on Machine Learning (ECML), 2005.
M. desJardins, Getoor, L., and Koller, D., Using Feature Hierarchies in Bayesian Network Learning, in Symposium on Abstraction, Reformulation and Approximation, 2000.
J. Doppa, Yu, J., Tadepalli, P., and Getoor, L., Learning Algorithms for Link Prediction based on Chance Constraints, in European Conference on Machine Learning (ECML), 2010.PDF icon doppa-ecml10.pdf (203 KB)
J. Doppa, Yu, J., Tadepalli, P., and Getoor, L., Chance-Constrained Programs for Link Prediction, in NIPS Workshop on Analyzing Networks and Learning with Graphs, 2009.PDF icon doppa-nips09wkshp.pdf (161.38 KB)
T. Dietterich, Domingos, P., Getoor, L., Muggleton, S., and Tadepalli, P., Structured machine learning: the next ten years, Machine Learning, vol. 73, pp. 3–23, 2008.
C. Diehl, Namata, G. Mark, and Getoor, L., Relationship Identification for Social Network Discovery, in AAAI '07: Proceedings of the 22nd National Conference on Artificial Intelligence, 2007.PDF icon diehl-aaai07.pdf (139.6 KB)
C. Diehl, Getoor, L., and Namata, G. Mark, Name Reference Resolution in Organizational Email Archives, in SIAM Conference on Data Mining (SDM), 2006.PDF icon diehlsdm06.pdf (971.2 KB)
A. Deshpande, Getoor, L., and Sen, P., Graphical Models for Uncertain Data, 1st ed., vol. 1. Springer, 2009, p. 1--34.PDF icon deshpande-book09.pdf (570.7 KB)
C. Daozheng, Mustafa, B., Getoor, L., David, J., Lilyana, M., and Tom, Y., Active Inference for Retrieval in Camera Networks, in IEEE Workshop on Person-Oriented Vision, 2011.PDF icon chen-wpov11.pdf (1.53 MB)
C. Daozheng, Mustafa, B., Getoor, L., and David, J., Dynamic Processing Allocation in Video, PAMI, vol. 33, pp. 2174-2187, 2011.PDF icon chen-pami11.pdf (1.16 MB)