Statistical Relational Learning

Overview

Software

Publications

J. Davis and P. Domingos. Deep transfer via second-order Markov logic. In Proceedings of the Twenty-Sixth International Conference on Machine Learning, Montréal, Canada, 2009. ACM Press.

S. Kok and P. Domingos. Learning Markov logic network structure via hypergraph lifting. In Proceedings of the Twenty-Sixth International Conference on Machine Learning, pages 505-512, Montréal, Canada, 2009. ACM Press.

A. Nath and P. Domingos. A language for relational decision theory. In Proceedings of the International Workshop on Statistical Relational Learning, Leuven, Belgium, 2009.

H. Poon and P. Domingos. Unsupervised semantic parsing. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, Singapore, 2009. ACL.

J. Davis and P. Domingos. Deep transfer via second-order Markov logic. In Proceedings of the AAAI-2008 Workshop on Transfer Learning for Complex Tasks, Chicago, IL, 2008. AAAI Press.

S. Kok and P. Domingos. Extracting semantic networks from text via relational clustering. In Proceedings of the Nineteenth European Conference on Machine Learning, pages 624-639, Antwerp, Belgium, 2008. Springer.

D. Lowd and P. Domingos. Learning arithmetic circuits. In Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence, pages 383-392, Helsinki, Finland, 2008. AUAI Press.

H. Poon, P. Domingos, and M. Sumner. A general method for reducing the complexity of relational inference and its application to MCMC. In Proceedings of the Twenty-Third National Conference on Artificial Intelligence, pages 1075-1080, Chicago, IL, 2008. AAAI Press.

H. Poon and P. Domingos. Joint unsupervised coreference resolution with Markov logic. In Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, pages 650-659, Honolulu, HI, 2008. ACL.

S. Schoenmackers, O. Etzioni, and D. S. Weld. Scaling textual inference to the Web. In Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, pages 79-88, Honolulu, HI, 2008. ACL.

P. Singla and P. Domingos. Lifted first-order belief propagation. In Proceedings of the Twenty-Third National Conference on Artificial Intelligence, pages 1094-1099, Chicago, IL, 2008. AAAI Press.

J. Wang and P. Domingos. Hybrid Markov logic networks. In Proceedings of the Twenty-Third National Conference on Artificial Intelligence, pages 1106-1111, Chicago, IL, 2008. AAAI Press.

F. Wu and D. Weld. Automatically refining the Wikipedia infobox ontology. In Proceedings of the 17th International World Wide Web Conference, pages 635-644, Beijing,China, 2008. ACM Press.

S. Kok and P. Domingos. Statistical predicate invention. In Proceedings of the Twenty-Fourth International Conference on Machine Learning, pages 433-440, Corvallis, OR, 2007. ACM Press.

S. Kok, M. Sumner, M. Richardson, P. Singla, H. Poon, D. Lowd, and P. Domingos. The Alchemy system for statistical relational AI. Technical report, Department of Computer Science and Engineering, University of Washington, Seattle, WA, 2007.

D. Lowd and P. Domingos. Recursive random fields. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, pages 950-955, Hyderabad, India, 2007. AAAI Press.

D. Lowd and P. Domingos. Efficient weight learning for Markov logic networks. In Proceedings of the Eleventh European Conference on Principles and Practice of Knowledge Discovery in Databases, pages 200-211, Warsaw, Poland, 2007. Springer.

H. Poon and P. Domingos. Joint inference in information extraction. In Proceedings of the Twenty-Second National Conference on Artificial Intelligence, pages 913-918, Vancouver, Canada, 2007. AAAI Press.

P. Singla and P. Domingos. Markov logic in infinite domains. In Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence, pages 368-375, Vancouver, Canada, 2007. AUAI Press.

P. Domingos, S. Kok, H. Poon, M. Richardson, and P. Singla. Unifying logical and statistical AI. In Proceedings of the Twenty-First National Conference on Artificial Intelligence, pages 2-7, Boston, MA, 2006. AAAI Press.

H. Poon and P. Domingos. Sound and efficient inference with probabilistic and deterministic dependencies. In Proceedings of the Twenty-First National Conference on Artificial Intelligence, pages 458-463, Boston, MA, 2006. AAAI Press.

M. Richardson and P. Domingos. Markov logic networks. Machine Learning, 62:107-136, 2006.

P. Singla and P. Domingos. Memory-efficient inference in relational domains. In Proceedings of the Twenty-First National Conference on Artificial Intelligence, pages 488-493, Boston, MA, 2006. AAAI Press.

P. Singla and P. Domingos. Entity resolution with Markov logic. In Proceedings of the Sixth IEEE International Conference on Data Mining, pages 572-582, Hong Kong, 2006. IEEE Computer Society Press.

P. Domingos. Mining social networks for viral marketing. IEEE Intelligent Systems, 20(1):80-82, 2005.

S. Kok and P. Domingos. Learning the structure of Markov logic networks. In Proceedings of the Twenty-Second International Conference on Machine Learning, pages 441-448, Bonn, Germany, 2005. ACM Press.

P. Singla and P. Domingos. Discriminative training of Markov logic networks. In Proceedings of the Twentieth National Conference on Artificial Intelligence, pages 868-873, Pittsburgh, PA, 2005. AAAI Press.

P. Singla and P. Domingos. Object identification with attribute-mediated dependences. In Proceedings of the Ninth European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, 2005. Springer.

P. Singla and P. Domingos. Multi-relational record linkage. In In Proceedings of the KDD-2004 Workshop on Multi-Relational Data Mining, pages 31-48, 2004.

P. Domingos, Y. Abe, C. Anderson, A. Doan, D. Fox, A. Halevy, G. Hulten, H. Kautz, T. Lau, L. Liao, J. Madhavan, Mausam, D. Patterson, M. Richardson, S. Sanghai, D. Weld, and S. Wolfman. Research on statistical relational learning at the University of Washington. In Proceedings of the IJCAI-2003 Workshop on Learning Statistical Models from Relational Data, pages 43-47, Acapulco, Mexico, 2003. IJCAII.

G. Hulten, P. Domingos, and Y. Abe. Mining massive relational databases. In Proceedings of the IJCAI-2003 Workshop on Learning Statistical Models from Relational Data, Acapulco, Mexico, 2003. IJCAII.

M. Richardson and P. Domingos. Building large knowledge bases by mass collaboration. In Proceedings of the Second International Conference on Knowledge Capture, pages 129-137, Sanibel Island, FL, 2003. ACM Press.

M. Richardson and P. Domingos. Learning with knowledge from multiple experts. In Proceedings of the Twentieth International Conference on Machine Learning, pages 624-631, Washington, DC, 2003. AAAI Press.

M. Richardson, R. Agrawal, and P. Domingos. Trust management for the Semantic Web. In Proceedings of the Second International Semantic Web Conference, pages 351-368, Sanibel Island, FL, 2003. Springer.

C. Anderson, P. Domingos, and D. Weld. Relational Markov models and their application to adaptive Web navigation. In Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 143-152, Edmonton, Canada, 2002. ACM Press.

M. Richardson and P. Domingos. The intelligent surfer: Probabilistic combination of link and content information in PageRank. In T. G. Dietterich, S. Becker, and Z. Ghahramani, editors, Advances in Neural Information Processing Systems 14, pages 1441-1448. MIT Press, Cambridge, MA, 2002.

M. Richardson and P. Domingos. Mining knowledge-sharing sites for viral marketing. In Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 61-70, Edmonton, Canada, 2002. ACM Press.

P. Domingos and M. Richardson. Mining the network value of customers. In Proceedings of the Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 57-66, San Francisco, CA, 2001. ACM Press.

P. Domingos and G. Hulten. Mining high-speed data streams. In Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 71-80, Boston, MA, 2000. ACM Press.