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desJardins M.  1994.  How to succeed in graduate school: a guide for students and advisors: part I of II. Crossroads. 1(2):3-9.
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.  1993.  Pagoda: A Model for Autonomous Learning in Probabilistic Domains. AI Magazine. 14(1):75-75.
desJardins M.  1994.  Evaluation of learning biases using probabilistic domain knowledge. Proceedings of the workshop on Computational learning theory and natural learning systems (vol. 2) : intersections between theory and experiment: intersections between theory and experiment. :97-112.
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, Durfee EH, Ortiz J., Wolverton MJ.  1999.  A Survey of Research in Distributed, Continual Planning. AI Magazine. 20(4):13-13.
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, Sahami M, Wagstaff K.  2011.  EAAI-10: The First Symposium on Educational Advances in Artificial Intelligence. AI Magazine. 32(1):91-91.
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, Hellerstein J.  2002.  On using correlation-based synopses during query optimization. Computer Science Division (EECS), University of California Berkeley.
Deshpande A, Khuller S, Malekian A, Toossi M.  2011.  Energy efficient monitoring in sensor networks. Algorithmica. 59(1):94-114.
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.  2004.  Handling estimation errors in database query processing.
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, Nath S, Gibbons PB, Seshan S.  2003.  IRIS: Internet-scale Resource-Intensive Sensor Services. Intel Research, UC Berkeley, Carnegie Mellon University.
Deshpande A, Ives Z, Raman V.  2007.  Adaptive query processing. Foundations and Trends in Databases. 1(1):1-140.
Deshpande A.  2009.  PrDB: Managing Large-Scale Correlated Probabilistic Databases (Abstract). Scalable Uncertainty ManagementScalable Uncertainty Management. 5785:1-1.
Deshpande A, Getoor L, Sen P.  2009.  Graphical models for uncertain data. Managing and Mining Uncertain Data. :77-77.
Deshpande A, Garofalakis MN, Jordan MI.  2001.  Efficient stepwise selection in decomposable models. Proc. UAI. :128-135.
Deshpande A.  2004.  An initial study of overheads of eddies. SIGMOD Rec.. 33(1):44-49.
Deshpande A, Khuller S, Malekian A, Toossi M.  2008.  Energy Efficient Monitoring in Sensor Networks. LATIN 2008: Theoretical InformaticsLATIN 2008: Theoretical Informatics. 4957:436-448.
Deshpande A, Hellerstein JM.  2004.  Lifting the burden of history from adaptive query processing. Proceedings of the Thirtieth international conference on Very large data bases - Volume 30. :948-959.
Deshpande A, Guestrin C, Madden SR.  2005.  Resource-aware wireless sensor-actuator networks. Data Engineering. 1001:40-40.
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, Nath S, Gibbons PB, Seshan S.  2003.  Cache-and-query for wide area sensor databases. Proceedings of the 2003 ACM SIGMOD international conference on Management of data. :503-514.

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