Publications
2003. IRIS: Internet-scale Resource-Intensive Sensor Services. Intel Research, UC Berkeley, Carnegie Mellon University.
2009. PrDB: Managing Large-Scale Correlated Probabilistic Databases (Abstract). Scalable Uncertainty ManagementScalable Uncertainty Management. 5785:1-1.
2008. Energy Efficient Monitoring in Sensor Networks. LATIN 2008: Theoretical InformaticsLATIN 2008: Theoretical Informatics. 4957:436-448.
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.
2001. Independence is good: dependency-based histogram synopses for high-dimensional data. SIGMOD Rec.. 30(2):199-210.
2003. Cache-and-query for wide area sensor databases. Proceedings of the 2003 ACM SIGMOD international conference on Management of data. :503-514.
2008. Flow Algorithms for Parallel Query Optimization. IEEE 24th International Conference on Data Engineering, 2008. ICDE 2008. :754-763.
2005. Using probabilistic models for data management in acquisitional environments. Proc. CIDR. :317-328.
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.
2007. Heuristic Search and Information Visualization Methods for School Redistricting. AI Magazine. 28(3):59-59.
2011. EAAI-10: The First Symposium on Educational Advances in Artificial Intelligence. AI Magazine. 32(1):91-91.
1995. How to succeed in graduate school: a guide for students and advisors: part II of II. Crossroads. 1(3):1-6.
1993. Workshop summary: AAAI-92 Workshop on Constraining Learning with Prior Knowledge. ACM SIGART Bulletin. 4(3):11-13.
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.
1994. Knowledge acquisition techniques for a military planning system. Tools with Artificial Intelligence, 1994. Proceedings., Sixth International Conference on. :454-460.
2010. Confidence-based feature acquisition to minimize training and test costs. Proceedings of the SIAM Conference on Data Mining. 76(373):514-524.
1994. How to succeed in graduate school: a guide for students and advisors: part I of II. Crossroads. 1(2):3-9.
2008. LEARNING STRUCTURED BAYESIAN NETWORKS: COMBINING ABSTRACTION HIERARCHIES AND TREE‐STRUCTURED CONDITIONAL PROBABILITY TABLES. Computational Intelligence. 24(1):1-22.