Learning Statistical Models from Relational Data
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Summer 2000
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- ICML 2000 Workshop Attribute-Value and Relational Learning: Crossing the Boundaries.
- Annals of Mathematics and Artificial Intelligence Special Issue: Representations of Uncertainty CFP.
References
Statistical Relational Learning (SRL)- Craven, M., S. Slattery, and K. Nigam (1998). First-order learning for Web mining. Proceedings of the 10th European Conference on Machine Learning (ECML-98 ).
- Friedman, N., L. Getoor, D. Koller, A. Pfeffer (1999). Learning probabilistic relational models. IJCAI-99, Stockholm, Sweden.
- Jensen, D. (1999). Statistical challenges to inductive inference in linked data. Working papers of the Seventh International Workshop on Artificial Intelligence and Statistics. Also in D. Jensen and H. Goldberg, Working papers of the 1998 AAAI Fall Symposium on AI and Link Analysis.
- Muggleton, S. (1999). Stochastic logic programs. Journal of Logic Programming, 1999. Accepted subject to revision.
- Dehaspe, L., H. Toivonen, and R. D. King. Finding frequent substructures in chemical compounds. In R. Agrawal, P. Stolorz, and G. Piatetsky-Shapiro, editors, 4th International Conference on Knowledge Discovery and Data Mining, pages 30-36. AAAI Press., August 1998.
- Slattery,S. and M. Craven (1998). Combining statistical and relational methods for learning in hypertext domains. Proceedings of the 8th International Conference on Inductive Logic Programming (ILP-98).
- Hofmann, T. and Jan Puzicha (1999). Latent class models for collaborative filtering IJCAI-99, Stockholm, Sweden (July).
- Breese, J., D. Heckerman, C. Kadie (1998). Empirical analysis of predictive algorithms for collaborative filtering Technical Report MSR-TR-98-12, Microsoft Research, May (revised October).
- Ungar, L. and D.P. Foster (1998). A formal statistical approach to collaborative filtering. Conference on Automated Learning and Discovery (CONALD).
- Jensen, D (1997). Prospective assessment of AI technologies for fraud detection: A case study. AI Approaches to Fraud Detection and Risk Management, Collected Papers from the 1997 Workshop. Technical Report WS-97-07. Menlo Park, CA: AAAI Press.
- Kautz, H., B. Selman, and M. Shah (1997). The hidden web. AI Magazine 18(2): 27-36.
- Senator, T., H. Goldberg, J. Wooton, M. Cottini, A.F. Umar Khan, C. Klinger, W. Llamas, M. Marrone, and R. Wong (1995). The FinCEN Artificial Intelligence System: Identifying potential money laundering from reports of large cash transactions. Proceedings of the 7th Conference on Innovative Applications in Artificial Intelligence.
- Sparrow, M. (1991). The application of network analysis to criminal intelligence: An assessment of the prospects. Social Networks 13:251-274.