Papers

• L. Getoor, Friedman, N., D. Koller, B. Taskar. Probabilistic Models of Relational Structure, International Conference on Machine Learning, Williamstown, MA, June 2001.

• L. Getoor, E. Segal, B. Taskar, D. Koller. Probabilistic Models of Text and Link Structure for Hypertext Classification, IJCAI Workshop on "Text Learning: Beyond Supervision", Seattle, WA, August 2001.

• L. Getoor, B. Taskar, D. Koller. Selectivity Estimation using Probabilistic Models, SIGMOD, Santa Barbara, CA, May, 2001.

• L. Getoor, Friedman, N.. D. Koller, A. Pfeffer. Learning Probabilistic Relational Models, Invited contribution to the book Relational Data Mining, S. Dzeroski and N. Lavrac, Eds., Springer-Verlag, 2001 (to appear).

• L. Getoor, D. Koller, B. Taskar, Friedman, N.. ``Learning probabilistic relational models with Structural Uncertainty''.  Proceedings of the AAAI-2000 Workshop on Learning Statistical Models from Relational Data , Austin, TX (July 2000).

• L. Getoor, D. Koller, Friedman, N.. ``From Instances to Classes in Probabilistic Relational Models.  Proceedings of the ICML-2000 Workshop on Attribute-Value and Relational Learning: Crossing the Boundarie , Stanford, CA (June, 2000).

• Friedman, N., L. Getoor, D. Koller, A. Pfeffer. Learning Probabilistic Relational Models.  IJCAI-99, Stockholm, Sweden (July 1999).

• Friedman, N. and L. Getoor.  Efficient Learning using Constrained Sufficient Statistics.  Uncertainty99 , Fort Lauderdale, FL, January, 1999.

• Chajewska, U., J. Norman and L. Getoor (1998).  Using Classification Techniques for Utility Elicitation:  A Comparison between Standard Gamble and Visual Analog Scale Methods. (extended abstract)  Presented at the Twentieth Anniversary Meeting of the Society for Medical Decision Making (MDM'98).

• Chajewska, U., L. Getoor, J. Norman and Y. Shahar (1998). Utility Elicitation as a Classification Problem.  In Uncertainty in Artificial Intelligence 14 (UAI '98), pp. 79-88.  Winner of the UAI '98 best student paper award.

  An earlier version appeared in AAAI 1998 Spring Symposium Series on Interactive and Mixed-Initiative Decision-Theoretic Systems, pp. 32-37.

• Getoor, L., G. Ottosson, M. Fromherz and B. Carlson.   Effective Redundant Constraints for Online Scheduling.  In proceedings of AAAI'97 - Fourteenth National Conference on Artificial Intelligence.  Providence, RI, 1997.

• Fromherz, M., and Getoor, L.   Online Scheduling for Reprographic Machines.  In working notes AAAI'97 Workshop on Online-Search.  Providence, RI, 1997.

• Lansky, A., and Getoor, L., Scope and Abstraction: Two Criteria for Localized Planning.  In IJCAI-95, Montreal, Canada (August 1995).

  An earlier version appeared in Proceedings of the 1994 Workshop on Theory Reformulation and Abstraction, Wyoming (May 1994).

• Lansky, A., M. Friedman, Getoor, L., S. Schmidler, and N. Short, The COLLAGE/KHOROS Link: Planning for Image Processing Tasks, in AAAI Spring Symposium on Integrated Planning Applications, Stanford University, Stanford, California (March 1995).

• Lansky, A., and Getoor, L., Practical Planning in COLLAGE, in Proceedings of the AAAI Fall Symposium on Planning and Learning: On to Real Applications, New Orleans, Louisiana (November 1994).

• Getoor, L., An Investigation of Tree-Structured Bias in an Autonomous Concept Learning System, NASA-Ames Research Center, Artificial Intelligence Research Branch, Technical Report IC-94-04 (1994).