Publications

General

Markov Logic Networks, Matt Richardson and Pedro Domingos. Machine Learning, 62, 107-136, 2006.

Unifying Logical and Statistical AI, Pedro Domingos, Stanley Kok, Hoifung Poon, Matt Richardson and Parag Singla. Proceedings of the Twenty-First National Conference on Artificial Intelligence (pp. 2-7), 2006. Boston, MA: AAAI Press.

What's Missing in AI: The Interface Layer, Pedro Domingos. In P. Cohen (ed.), Artificial Intelligence: The First Hundred Years. Menlo Park, CA: AAAI Press. To appear.

Recursive Random Fields, Daniel Lowd and Pedro Domingos. Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (pp. 950-955), 2007. Hyderabad, India: AAAI Press.

Markov Logic in Infinite Domains, Parag Singla and Pedro Domingos. Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence (pp. 368-375), 2007. Vancouver, Canada: AUAI Press.

Toward Knowledge-Rich Data Mining, Pedro Domingos. Data Mining and Knowledge Discovery, 15, 21-28, 2007.

Markov Logic: A Unifying Framework for Statistical Relational Learning, Pedro Domingos and Matthew Richardson. In L. Getoor and B. Taskar (eds.), Introduction to Statistical Relational Learning (pp. 339-371), 2007. Cambridge, MA: MIT Press.

Markov Logic, Pedro Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson and Parag Singla. In L. De Raedt, P. Frasconi, K. Kersting and S. Muggleton (eds.), Probabilistic Inductive Logic Programming. New York: Springer. To appear.

Structured Machine Learning: Ten Problems for the Next Ten Years, Pedro Domingos. Proceedings of Seventeenth International Conference on Inductive Logic Programming, 2007. Corvallis, Oregon: Springer.

Hybrid Markov Logic Networks, Jue Wang, Pedro Domingos. Proceedings of the Twenty-Third National Conference on Artificial Intelligence, 2008. Chicago, IL: To appear.

Inference

Memory-Efficient Inference in Relational Domains, Parag Singla and Pedro Domingos. Proceedings of the Twenty-First National Conference on Artificial Intelligence (pp. 488-493), 2006. Boston, MA: AAAI Press.

Sound and Efficient Inference with Probabilistic and Deterministic Dependencies, Hoifung Poon and Pedro Domingos. Proceedings of the Twenty-First National Conference on Artificial Intelligence (pp. 458-463), 2006. Boston, MA: AAAI Press.

Speeding up Inference in Statistical Relational Learning by Clustering Similar Query Literals, Lily Mihalkova and Matthew Richardson. MSR-TR-2008-72.

Improving the Accuracy and Efficiency of MAP Inference for Markov Logic, Sebastian Riedel. Proceedings of UAI 2008.

Lifted First-Order Belief Propagation, Parag Singla and Pedro Domingos. Twenty-Third National Conference on Artificial Intelligence, 2008. Chicago, IL. To appear.

A General Method for Reducing the Complexity of Relational Inference and its Application to MCMC, Hoifung Poon, Pedro Domingos, and Marc Sumner. Proceedings of the Twenty-Third National Conference on Artificial Intelligence, 2008 (AAAI-08). Chicago, IL: AAAI Press. To appear.

Weight Learning

Discriminative Training of Markov Logic Networks, Parag Singla and Pedro Domingos. Proceedings of the Twentieth National Conference on Artificial Intelligence (pp. 868-873), 2005. Pittsburgh, PA: AAAI Press.

Efficient Weight Learning for Markov Logic Networks, Daniel Lowd and Pedro Domingos. Proceedings of the Eleventh European Conference on Principles and Practice of Knowledge Discovery in Databases (pp. 200-211), 2007. Warsaw, Poland: Springer.

Structure Learning

Learning the Structure of Markov Logic Networks, Stanley Kok and Pedro Domingos. Proceedings of the Twenty-Second International Conference on Machine Learning (pp. 441-448), 2005. Bonn, Germany: ACM Press.

Bottom-Up Learning of Markov Logic Network Structure, Lily Mihalkova and Raymond J. Mooney. In Proceedings of the 24th International Conference on Machine Learning (ICML-07). pp. 625-632.

Discriminative Structure and Parameter Learning for Markov Logic Networks, Tuyen N. Huynh, and Raymond J. Mooney. Proceedings of the 25th International Conference on Machine Learning (ICML-08), Helsinki, Finland, July 2008. To appear.

Transfer Learning

Mapping and Revising Markov Logic Networks for Transfer Learning, Lily Mihalkova, Tuyen Huynh and Raymond J. Mooney. In Proceedings the 22nd Conference on Artificial Intelligence (AAAI-07). pp. 608-614.

Deep Transfer via Second-Order Markov Logic, Jesse Davis and Pedro Domingos. Proceedings of the AAAI-2008 Workshop on Transfer Learning for Complex Tasks, 2008. Chicago, IL: AAAI Press. To appear.

Transfer Learning by Mapping with Minimal Target Data, Lilyana Mihalkova and Raymond J. Mooney. Proceedings of the AAAI-2008 Workshop on Transfer Learning for Complex Tasks, 2008. Chicago, IL: AAAI Press. To appear.

Transfer in Reinforcement Learning via Markov Logic Networks, L. Torrey, J. Shavlik, S. Natarajan, P. Kuppili and T. Walker. Proceedings of the AAAI-2008 Workshop on Transfer Learning for Complex Tasks, 2008. Chicago, IL: AAAI Press. To appear.

Statistical Predicate Invention

Statistical Predicate Invention, Stanley Kok and Pedro Domingos. Proceedings of the Twenty-Fourth International Conference on Machine Learning (pp. 433-440), 2007. Corvallis, Oregon: ACM Press.

Applications

Genic Interaction Extraction with Semantic and Syntactic Chains, Sebastian Riedel and Ewan Klein. Learning in Logic Workshop, ICML 2005.

Entity Resolution with Markov Logic, Parag Singla and Pedro Domingos. Proceedings of the Sixth IEEE International Conference on Data Mining (pp. 572-582), 2006. Hong Kong: IEEE Computer Society Press.

Joint Inference in Information Extraction, Hoifung Poon and Pedro Domingos. Proceedings of the Twenty-Second National Conference on Artificial Intelligence (pp. 913-918), 2007. Vancouver, Canada: AAAI Press.

Automatically Refining the Wikipedia Infobox Ontology, Fei Wu and Daniel S. Weld. In the 17th International World Wide Web Conference, (WWW-08), Beijing, China, April, 2008.

Discovery of Social Relationships in Consumer Photo Collections using Markov Logic, Parag Singla, Henry Kautz, Jiebo Luo and Andrew Gallagher. CVPR Workshop on Semantic Learning and Applications in Multimedia, 2008. Anchorage, Alaska. To appear.

Integrating Multiple Learning Components Through Markov Logic, Thomas G. Dietterich and Xinlong Bao. Twenty-Third Conference on Artificial Intelligence (AAAI-2008). To appear.

Extracting Semantic Networks from Text via Relational Clustering, Stanley Kok and Pedro Domingos. Proceedings of the Nineteenth European Conference on Machine Learning, 2008. Antwerp, Belgium: Springer.

Collective Semantic Role Labelling with Markov Logic, Sebastian Riedel and Ivan Meza-Ruiz, Conference on Empirical Methods in Natural Language Processing and Natural Language Learning, 2008.