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VLDB
1997
ACM
117views Database» more  VLDB 1997»
15 years 8 months ago
Optimizing Queries Across Diverse Data Sources
Businesses today need to interrelate data stored in diverse systems with differing capabilities, ideally via a single high-level query interface. We present the design of a query ...
Laura M. Haas, Donald Kossmann, Edward L. Wimmers,...
ATAL
2010
Springer
15 years 5 months ago
When should there be a "Me" in "Team"?: distributed multi-agent optimization under uncertainty
Increasing teamwork between agents typically increases the performance of a multi-agent system, at the cost of increased communication and higher computational complexity. This wo...
Matthew E. Taylor, Manish Jain, Yanquin Jin, Makot...
JIRS
2007
120views more  JIRS 2007»
15 years 4 months ago
Optimal Camera Placement for Automated Surveillance Tasks
— Today, there are many opportunities to create vision-based intelligent systems that are human-centric. This is a very rich area because humans are very complex, and the number ...
Robert Bodor, Andrew Drenner, Paul R. Schrater, Ni...
VLDB
2002
ACM
129views Database» more  VLDB 2002»
15 years 4 months ago
Optimizing View Queries in ROLEX to Support Navigable Result Trees
An increasing number of applications use XML data published from relational databases. For speed and convenience, such applications routinely cache this XML data locally and acces...
Philip Bohannon, Sumit Ganguly, Henry F. Korth, P....
GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
15 years 10 months ago
Learning and anticipation in online dynamic optimization with evolutionary algorithms: the stochastic case
The focus of this paper is on how to design evolutionary algorithms (EAs) for solving stochastic dynamic optimization problems online, i.e. as time goes by. For a proper design, t...
Peter A. N. Bosman, Han La Poutré