Bibliography

MACHINE LEARNING

Marie desJardins, Lise Getoor, and Daphne Koller, Using feature hierarchies in Bayesian network learning (Extended Abstract), Proceedings of the Symposium on Abstraction, Reformulation and Reformulation (SARA-2000), ACM Press, 2000.

Penny Rheingans and Marie desJardins, Visualizing high-dimensional model quality, Proceedings of IEEE Visualization 2000. (1440 Mbytes)

Marie desJardins and Penny Rheingans, Visualization of high-dimensional model characteristics, CIKM-99 Workshop on New Paradigms in Information Visualization and Manipulation, ACM Press (forthcoming).

Marie desJardins, Peter D. Karp, Markus Krummenacker, Thomas J. Lee, and Christos A. Ouzonis, Prediction of enzyme classification from protein sequence without the use of sequence similarity, Proceedings of the Fifth International Conference on Intelligent Systems for Molecular Biology, Halkidiki, Greece, 1997.

Diana F. Gordon and Marie desJardins. Evaluation and selection of biases in machine learning , Machine Learning 20(1-2), July/August 1995, pp. 5-22.

Marie desJardins. The use of relevance to evaluate learning biases, Proceedings of the AAAI Fall Symposium on Relevance, New Orleans. Published as a AAAI Technical Report, 1994.

Marie desJardins. Evaluation of learning biases using probabilistic domain knowledge, in Stephen Jose Hanson et al., Computational Learning Theory and Natural Learning Systems, Vol. 2, ch. 7, pp. 95-112. MIT Press, 1994.

Marie desJardins. An integrated architecture for autonomous intelligent agents, AAAI Workshop on Learning Action Models, Washington, D.C. Published as a AAAI Technical Report, 1993.

Marie desJardins. PAGODA: A model for autonomous learning in probabilistic domains, dissertation abstract, AI Magazine, Spring 1993, pp. 75-76.

Marie desJardins. PAGODA: A Model for Autonomous Learning in Probabilistic Domains, Ph.D. dissertation, University of California, Berkeley, 1992. Available as UC Berkeley Technical Report No. UCB/CSD 92/678.

Marie desJardins. Goal-directed learning: a decision-theoretic model for deciding what to learn next, In Goal-Driven Learning, Ashwin Ram and David B. Leake, eds., MIT Press, 1995.

Marie desJardins. Probabilistic evaluation of bias for learning systems, Machine Learning Workshop, Evanston, Illinois. Morgan Kaufmann, 1991.

PLANNING AND SCHEDULING

Mithun Sheshagiri, Marie desJardins, and Tim Finin, A planner for composing services described in DAML-S, ICAPS 2003 Workshop on Planning for Web Services, July 2003.

Kishalay Kundu, Chad Sessions, Marie desJardins, and Penny Rheingans, Three-dimensional visualization of hierarchical task network plans, Proceedings of the Third International NASA Workshop on Planning and Scheduling for Space, Houston, Texas, October 27-29, 2002.

Karen L. Myers, Michael J. Wolverton, W. Mabry Tyson, Peter A. Jarvis, Thomas J. Lee, and Marie desJardins, PASSAT: User-centric planning technology, Proceedings of the Third International NASA Workshop on Planning and Scheduling for Space, Houston, Texas, October 27-29, 2002.

David Wilkins and Marie desJardins, A call for knowledge-based planning, AI Magazine, vol. 22, no. 1, Winter 2001. (An earlier version of this paper appeared in the Proceedings of the Second International NASA Workshop on Planning and Scheduling for Space, San Francisco, CA, pp. 187-192, 2000.)

Distributed Planning

Marie desJardins, Karen Myers, David Morley, and Michael Wolverton, Research summary: Communication-sensitive decision making in multi-agent, real-time environments, AAAI Spring Symposium on Robust Autonomy, Stanford, CA, March 26-28, 2001.

Marie desJardins and Michael Wolverton, Coordinating planning activity and information flow in a distributed planning system, AI Magazine, Winter 1999, pages 45-53. A previous version appeared in the AAAI Fall Symposium on Distributed, Continual Planning (AAAI Technical Report FS-98-??), AAAI Press, 1998.

Marie E. desJardins, Edmund H. Durfee, Charles L. Ortiz, Jr., and Michael J. Wolverton, A survey of research in distributed, continual planning, AI Magazine, Winter 1999, pages 13-22.

Michael Wolverton and Marie desJardins, Controlling communication in distributed planning using irrelevance reasoning, Proceedings of NCAI-98, Madison, WI. AAAI Press, 1998.

Case-Based Planning

Marie desJardins and Michael Wolverton, Hybrid planning: An approach to integrating generative and case-based planning, Proceedings of the AAAI-98 Workshop on Case-Based Reasoning Integrations (AAAI Technical Report WS-98-15). AAAI Press, 1998.

Knowledge Acquisition Tools

Marie desJardins, Knowledge acquisition tools for planning systems, in Austin Tate, ed., Advanced Planning Technology: Technological Achievements of the ARPA/Rome Laboratory Planning Initiative, pp. 124-129, AAAI Press, Menlo Park, CA, 1996.

Marie desJardins. Knowledge acquisition techniques for a military planning system, Proceedings of the 6th International Conference on Tools with AI, New Orleans. IEEE Computer Society Press, 1994.

Marie desJardins. Knowledge development methods for planning systems , Proceedings of the AAAI Fall Symposium on Planning and Learning, New Orleans. Published as a AAAI Technical Report, 1994.

Marie desJardins. Machine learning of planning knowledge for SOCAP, ARPA/Rome Laboratory Planning Initiative Workshop. Morgan Kaufmann, 1994.

Scheduling and Constraint Satisfaction

Priyang Rathod, Marie desJardins, and Suryakant Sansare, Interactive, incremental scheduling for Virtual Telescopes in
Education, Proceedings of the Third International NASA Workshop on Planning and Scheduling for Space, Houston, Texas, October 27-29, 2002.

Suryakant Sansare and Marie desJardins, Incorporating constraint checking costs in constraint satisfaction problems. Unpublished draft.

Susan Hoban, Marie desJardins, Nora Farrell, Priyang Rathod, Joel Sachs, Suryakant Sansare, Yelena Yesha, John Keating, Bart Busschots, Johanna Means, Gilbert Clark, Lou Mayo, and Willard Smith, Virtual Telescopes in Education, Journal of Digital Information 2(4) (Special Issue on Interactivity in Digital Libraries), May 2002.

Applications

Mark H. Burstein, Richard Schantz, Marie A. Bienkowski, Marie E. desJardins, and Stephen F. Smith. The Common Prototyping Environment, IEEE Expert, February 1995, pp. 17-26.

Marie A. Bienkowski and Marie E. desJardins, Planning-based integrated decision support systems, Proceedings of the Second International Conference on AI Planning Systems, pp. 196-201, Morgan Kaufmann, 1994.

Roberto Desimone, David Wilkins, Marie Bienkowski, and Marie desJardins. SOCAP: Lessons learned in automating military operations planning, IEA/AIE-93 Sixth International Conference, Edinburgh, June, 1993.

ADAPTIVE TUTORING SYSTEMS

Denise W. Gürer, Marie desJardins, and Mark Schlager. Representing a student's learning states and transitions, AAAI Spring Symposium on Representing Mental States and Mechanisms, Stanford, CA. Published as a AAAI technical report, 1995.

OTHER PUBLICATIONS

Marie desJardins. How to succeed in graduate school: A guide for students and advisors, Crossroads, the online ACM student magazine. Published in two parts in issues 1.2 (December 1994) and 1.3 (January 1995).

Marie desJardins. Representing and reasoning with probabilistic knowledge: A Bayesian approach, Proceedings of the Ninth Conference on Uncertainty in AI, Washington, D.C. Morgan Kaufmann, 1993.

Marie desJardins (mariedj@cs.umbc.edu)