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WSC
2004
15 years 8 months ago
Exploiting Temporal Uncertainty in Process-Oriented Distributed Simulations
Existing research has defined a new type of simulation time called Approximate Time, where the simulation's knowledge about the values that represent time is uncertain. The a...
Margaret L. Loper, Richard M. Fujimoto
AAAI
1997
15 years 8 months ago
Effective Redundant Constraints for Online Scheduling
The use of heuristics as a means to improve constraint solver performance has been researched widely. However, most work has been on problem-independentheuristics (e.g., variable ...
Lise Getoor, Greger Ottosson, Markus P. J. Fromher...
AAAI
1996
15 years 8 months ago
Building Steady-State Simulators via Hierarchical Feedback Decomposition
In recent years, compositional modeling and selfexplanatory simulation techniques have simplified the process of building dynamic simulators of physical systems. Building steady-s...
Nicolas F. Rouquette
NIPS
1994
15 years 8 months ago
Active Learning with Statistical Models
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
David A. Cohn, Zoubin Ghahramani, Michael I. Jorda...
AAAI
1990
15 years 8 months ago
Tree Decomposition with Applications to Constraint Processing
This paper concerns the task of removing redundant information from a given knowledge base, and restructuring it in the form of a tree, so as to admit efficient problem solving ro...
Itay Meiri, Judea Pearl, Rina Dechter
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