Publications
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.
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.
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.
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.
2007. Adaptive query processing: why, how, when, what next? Proceedings of the 33rd international conference on Very large data bases. :1426-1427.
2004. Model-driven data acquisition in sensor networks. Proceedings of the Thirtieth international conference on Very large data bases - Volume 30. :588-599.
2002. Decoupled query optimization for federated database systems. 18th International Conference on Data Engineering, 2002. Proceedings. :716-727.
2007. Probabilistic graphical models and their role in databases. Proceedings of the 33rd international conference on Very large data bases. :1435-1436.
2005. Toward on-line schema evolution for non-stop systems. 11th High Performance Transaction Systems Workshop.
2010. Increasing representational power and scaling reasoning in probabilistic databases. Proceedings of the 13th International Conference on Database Theory. :1-1.