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