Publications

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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.  1993.  Workshop summary: AAAI-92 Workshop on Constraining Learning with Prior Knowledge. ACM SIGART Bulletin. 4(3):11-13.
desJardins M.  2005.  DD-PREF: A language for expressing preferences over sets. In AAAI-05.
desJardins M, Bulka B, Carr R, Hunt A, Rathod P, Rheingans P.  2006.  Heuristic search and information visualization methods for school redistricting. Proceedings of the 18th conference on Innovative applications of artificial intelligence - Volume 2. :1774-1781.
desJardins M.  1994.  Knowledge acquisition techniques for a military planning system. Tools with Artificial Intelligence, 1994. Proceedings., Sixth International Conference on. :454-460.
desJardins M, MacGlashan J, Wagstaff KL.  2010.  Confidence-based feature acquisition to minimize training and test costs. Proceedings of the SIAM Conference on Data Mining. 76(373):514-524.
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.  1994.  How to succeed in graduate school: a guide for students and advisors: part I of II. Crossroads. 1(2):3-9.
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, 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, 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.  Cache-and-query for wide area sensor databases. Proceedings of the 2003 ACM SIGMOD international conference on Management of data. :503-514.
Deshpande A, Hellerstein L.  2008.  Flow Algorithms for Parallel Query Optimization. IEEE 24th International Conference on Data Engineering, 2008. ICDE 2008. :754-763.
Deshpande A, Guestrin C, Madden S.  2005.  Using probabilistic models for data management in acquisitional environments. Proc. CIDR. :317-328.
Deshpande A, Guestrin C, Madden SR, Hellerstein JM, Hong W.  2004.  Model-driven data acquisition in sensor networks. Proceedings of the Thirtieth international conference on Very large data bases - Volume 30. :588-599.
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, Sarawagi S.  2007.  Probabilistic graphical models and their role in databases. Proceedings of the 33rd international conference on Very large data bases. :1435-1436.

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