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 ...
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, ...
Tuning the performance of applications requires understanding the interactions between code and target architecture. This paper describes a performance modeling approach that not ...
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...
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...