Publications

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desJardins M, Littman M.  2010.  Broadening student enthusiasm for computer science with a great insights course. Proceedings of the 41st ACM technical symposium on Computer science education. :157-161.
desJardins M.  1993.  Pagoda: A Model for Autonomous Learning in Probabilistic Domains. AI Magazine. 14(1):75-75.
desJardins M.  1995.  How to succeed in graduate school: A guide for students and advisors. International Amateur-Professional Photoelectric Photometry Communications. 58:15-15.
desJardins M, Francis A, Wolverton M.  1998.  Hybrid planning: An approach to integrating generative and case-based planning. Working Notes of the AAAI-98 Workshop on Case-Based Reasoning Integrations.
desJardins M, Sahami M, Wagstaff K.  2011.  EAAI-10: The First Symposium on Educational Advances in Artificial Intelligence. AI Magazine. 32(1):91-91.
desJardins M, Rheingans P.  1999.  Visualization of high-dimensional model characteristics. Proceedings of the 1999 workshop on new paradigms in information visualization and manipulation in conjunction with the eighth ACM internation conference on Information and knowledge management. :6-8.
desJardins M, Durfee EH, Ortiz J., Wolverton MJ.  1999.  A Survey of Research in Distributed, Continual Planning. AI Magazine. 20(4):13-13.
desJardins M, Eaton E, Wagstaff KL.  2006.  Learning user preferences for sets of objects. Proceedings of the 23rd international conference on Machine learning. :273-280.
desJardins M.  2008.  How to succeed in graduate school: a guide for students and advisors. Crossroads. 14(4):5-9.
desJardins M.  1995.  How to succeed in graduate school: a guide for students and advisors: part II of II. Crossroads. 1(3):1-6.
desJardins M.  2005.  DD-PREF: A language for expressing preferences over sets. In AAAI-05.
desJardins M, Rathod P, Getoor L.  2005.  Bayesian network learning with abstraction hierarchies and context-specific independence. Machine Learning: ECML 2005. :485-496.
desJardins M.  2001.  A day in the life of … Marie DesJardins. Crossroads. 8(2):8-9.
desJardins M, Rathod P, Getoor L.  2008.  LEARNING STRUCTURED BAYESIAN NETWORKS: COMBINING ABSTRACTION HIERARCHIES AND TREE‐STRUCTURED CONDITIONAL PROBABILITY TABLES. Computational Intelligence. 24(1):1-22.
desJardins M, Bulka B, Carr R, Jordan E, Rheingans P.  2007.  Heuristic Search and Information Visualization Methods for School Redistricting. AI Magazine. 28(3):59-59.
desJardins M, Wolverton M.  1999.  Coordinating a Distributed Planning System. AI Magazine. 20(4):45-45.
Desimone R, Wilkins DE, Bienkowski M, desJardins M.  1993.  SOCAP: lessons learned in automating military operations planning. Proceedings of the 6th international conference on Industrial and engineering applications of artificial intelligence and expert systems. :384-393.
Deshpande A, Garofalakis M, Rastogi R.  2001.  Independence is good: dependency-based histogram synopses for high-dimensional data. SIGMOD Rec.. 30(2):199-210.
Deshpande A, Hicks MW.  2005.  Toward on-line schema evolution for non-stop systems. 11th High Performance Transaction Systems Workshop.
Deshpande A, Guestrin C, Madden SR.  2005.  Resource-aware wireless sensor-actuator networks. Data Engineering. 1001:40-40.
Deshpande A, Guestrin C, Hong W, Madden S.  2005.  Exploiting Correlated Attributes in Acquisitional Query Processing. 21st International Conference on Data Engineering, 2005. ICDE 2005. Proceedings. :143-154.
Deshpande A, Guestrin C, Madden S, Hellerstein J, Hong W.  2005.  Model-based approximate querying in sensor networks. The VLDB Journal. 14(4):417-443.
Deshpande A, Ives Z, Raman V.  2007.  Adaptive query processing: why, how, when, what next? Proceedings of the 33rd international conference on Very large data bases. :1426-1427.
Deshpande A.  2010.  Increasing representational power and scaling reasoning in probabilistic databases. Proceedings of the 13th International Conference on Database Theory. :1-1.
Deshpande A, Khuller S, Malekian A, Toossi M.  2011.  Energy efficient monitoring in sensor networks. Algorithmica. 59(1):94-114.

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