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JMLR
2010
88views more  JMLR 2010»
13 years 4 months ago
Inference and Learning in Networks of Queues
Probabilistic models of the performance of computer systems are useful both for predicting system performance in new conditions, and for diagnosing past performance problems. The ...
Charles A. Sutton, Michael I. Jordan
CORR
2011
Springer
193views Education» more  CORR 2011»
13 years 1 months ago
ATC Taskload Inherent to the Geometry of Stochastic 4-D Trajectory Flows with Flight Technical Errors
—A method to quantify the probabilistic controller taskload inherent to maintaining aircraft adherence to 4-D trajectories within flow corridors is presented. Taskload is here d...
Vlad Popescu, John-Paul Clarke, Karen M. Feigh, Er...
WSC
2000
13 years 11 months ago
A real options design for quality control charts
We develop a financial model for a manufacturing process where quality can be affected by an assignable cause. We evaluate the options associated with applying a statistical proce...
Harriet Black Nembhard, Leyuan Shi, Mehmet Aktan
DAC
2000
ACM
14 years 11 months ago
Practical iterated fill synthesis for CMP uniformity
We propose practical iterated methods for layout density control for CMP uniformity, based on linear programming, Monte-Carlo and greedy algorithms. We experimentally study the tr...
Yu Chen, Andrew B. Kahng, Gabriel Robins, Alexande...
ACG
2006
Springer
14 years 4 months ago
Solving Probabilistic Combinatorial Games
Probabilistic combinatorial games (PCG) are a model for Go-like games recently introduced by Ken Chen. They differ from normal combinatorial games since terminal position in each ...
Ling Zhao, Martin Müller 0003