Publications

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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, Khuller S, Malekian A, Toossi M.  2011.  Energy efficient monitoring in sensor networks. Algorithmica. 59(1):94-114.
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.
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.
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, Wolverton M.  1999.  Coordinating a Distributed Planning System. AI Magazine. 20(4):45-45.
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, MacGlashan J, Ferraioli J.  2007.  Interactive visual clustering. Proceedings of the 12th international conference on Intelligent user interfaces. :361-364.
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, Ciavolino A, Deloatch R, Feasley E.  2011.  Playing to Program: Towards an Intelligent Programming Tutor for RUR-PLE. Second AAAI Symposium on Educational Advances in Artificial Intelligence.
desJardins M.  2008.  How to succeed in graduate school: a guide for students and advisors. Crossroads. 14(4):5-9.
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, Rathod P, Getoor L.  2005.  Bayesian network learning with abstraction hierarchies and context-specific independence. Machine Learning: ECML 2005. :485-496.

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