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» Decision Making Using Probabilistic Inference Methods
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SIGMOD
2004
ACM
262views Database» more  SIGMOD 2004»
15 years 10 months ago
The Next Database Revolution
Database system architectures are undergoing revolutionary changes. Most importantly, algorithms and data are being unified by integrating programming languages with the database ...
Jim Gray
ICDE
2000
IEEE
174views Database» more  ICDE 2000»
15 years 11 months ago
Self-Adaptive User Profiles for Large-Scale Data Delivery
Push-based data delivery requires knowledge of user interests for making scheduling, bandwidthallocation, and routing decisions. Such information is maintained as user profiles. W...
C. Lee Giles, Michael J. Franklin, Ugur Çet...
INFOCOM
2008
IEEE
15 years 4 months ago
CTU: Capturing Throughput Dependencies in UWB Networks
—The inherent channel characteristics of impulse-based UWB networks affect the MAC layer performance significantly. Previous studies on evaluating MAC protocols are based on pro...
Ioannis Broustis, Aggelos Vlavianos, Prashant Kris...
ICAS
2006
IEEE
171views Robotics» more  ICAS 2006»
15 years 3 months ago
Adaptive Approach to Information Dissemination in Self-Organizing Grids
The size, complexity, heterogeneity, and dynamism of largescale computational grids make autonomic grid services and solutions necessary. In particular, grid schedulers must map a...
Deger Cenk Erdil, Michael J. Lewis, Nael B. Abu-Gh...
APPROX
2005
Springer
136views Algorithms» more  APPROX 2005»
15 years 3 months ago
What About Wednesday? Approximation Algorithms for Multistage Stochastic Optimization
The field of stochastic optimization studies decision making under uncertainty, when only probabilistic information about the future is available. Finding approximate solutions to...
Anupam Gupta, Martin Pál, R. Ravi, Amitabh ...