Publications

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desJardins M, Wolverton M.  1999.  Coordinating a Distributed Planning System. AI Magazine. 20(4):45-45.
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, 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, Hicks MW.  2005.  Toward on-line schema evolution for non-stop systems. 11th High Performance Transaction Systems Workshop.
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, Madden S.  2006.  MauveDB: supporting model-based user views in database systems. Proceedings of the 2006 ACM SIGMOD international conference on Management of data. :73-84.
Deshpande A, Huang R, Raman V, Riggs T, Song D, Subramanian L.  1999.  A Study of the Structure of the Web. University of California, Berkeley.
Deshpande A, Hellerstein J.  2002.  On using correlation-based synopses during query optimization. Computer Science Division (EECS), University of California Berkeley.
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, Khuller S, Malekian A, Toossi M.  2011.  Energy efficient monitoring in sensor networks. Algorithmica. 59(1):94-114.
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.

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