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143
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NIPS
2008
15 years 5 months ago
Efficient Sampling for Gaussian Process Inference using Control Variables
Sampling functions in Gaussian process (GP) models is challenging because of the highly correlated posterior distribution. We describe an efficient Markov chain Monte Carlo algori...
Michalis Titsias, Neil D. Lawrence, Magnus Rattray
SE
2007
15 years 5 months ago
Requirements traceability in the model-based testing process
: Automated test case and test driver generation from a precise behaviour UML model is an emerging approach for software functional validation. This innovative approach for validat...
Eddy Bernard, Bruno Legeard
132
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IJCAI
2001
15 years 5 months ago
Adaptive Control of Acyclic Progressive Processing Task Structures
The progressive processing model allows a system to trade off resource consumption against the quality of the outcome by mapping each activity to a graph of potential solution met...
Stéphane Cardon, Abdel-Illah Mouaddib, Shlo...
WSC
2001
15 years 5 months ago
Graphical methods for robust design of a semiconductor burn-in process
Discrete-event simulation is a common tool for the analysis of semiconductor manufacturing systems. With the aid of a simulation model, and in conjunction with sensitivity analysi...
Scott L. Rosen, Chad A. Geist, Daniel A. Finke, Jy...
ENTCS
2008
100views more  ENTCS 2008»
15 years 4 months ago
Model-based Engineering of Embedded Systems Using the Hybrid Process Algebra Chi
Hybrid Chi is a process algebra for the modeling and analysis of hybrid systems. It enables modular specification of hybrid systems by means of a large set of atomic statements an...
Jos C. M. Baeten, Dirk A. van Beek, Pieter J. L. C...