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WSC
2008
15 years 2 days ago
The knowledge-gradient stopping rule for ranking and selection
We consider the ranking and selection of normal means in a fully sequential Bayesian context. By considering the sampling and stopping problems jointly rather than separately, we ...
Peter Frazier, Warren B. Powell
CODES
2006
IEEE
15 years 3 months ago
Yield prediction for architecture exploration in nanometer technology nodes: : a model and case study for memory organizations
Process variability has a detrimental impact on the performance of memories and other system components, which can lead to parametric yield loss at the system level due to timing ...
Antonis Papanikolaou, T. Grabner, Miguel Miranda, ...
IPCCC
2007
IEEE
15 years 4 months ago
Application Insight Through Performance Modeling
Tuning the performance of applications requires understanding the interactions between code and target architecture. This paper describes a performance modeling approach that not ...
Gabriel Marin, John M. Mellor-Crummey
PODC
1995
ACM
15 years 1 months ago
A Framework for Protocol Composition in Horus
The Horus system supports a communication architecture ats protocols as instances of an abstract data type. This approach encourages developers to partition complex protocols into...
Robbert van Renesse, Kenneth P. Birman, Roy Friedm...
PPSN
2010
Springer
14 years 7 months ago
Feature Selection for Multi-purpose Predictive Models: A Many-Objective Task
The target of machine learning is a predictive model that performs well on unseen data. Often, such a model has multiple intended uses, related to different points in the tradeoff ...
Alan P. Reynolds, David W. Corne, Michael J. Chant...